Cybersecurity Education, Research & Outreach Center

2026 Publications

• Iqra Batool, Mostafa Fouda, Muhammad Ismail, Zubair Md Fadlullah, “QUINOA: Quantum-Unified Intelligent Network Orchestration and Automation for 6G Heterogeneous Networks” IEEE Internet of Things Journal, Jun. 2026
• Md Mainul Islam, Muhammad Ismail, Hasan Kurban, Xiang Huo, Erchin Serpedin, “Lightweight Defense Against Data Consistency Attacks in Distributed DC Optimal Power Flow” IEEE Transactions on Automation Science and Engineering, Jun.2026
• Iqra Batool, Mostafa Fouda, Muhammad Ismail, Shikhar Verma, Zubair Md Fadlullah, Nei Kato “Privacy-Embedded Spectrum Coordination in 6G V2X Networks: An Attention-Driven Multi-Agent Learning Approach” IEEE Network, May. 2026
• Yiwen Wang, Zi-Yang Wu, Zhuowei Li, Muhammad Ismail, Wenhe Wang, Jiliang Zhang, “Robustness of Polarization Shift Keying Against Hardware Impairments” IEEE Transactions on Wireless Communications 25, 16215-16228, May. 2026
• Md Mainul Islam, Abdulrahman Takiddin, Muhammad Ismail, Hasan Kurban, Erchin Serpedin, “Linear-Complexity Unified Defense Against Deception Attacks in Distributed Economic Dispatch Using Cryptography and Machine Learning” IEEE Transactions on Smart Grid, May. 2026
• Travis Lee, Muhammad Ismail, Jesse Roberts, “Generation and Validation of Configuration Management Code for Cyber Range Environments Using Large Language Models” The International FLAIRS Conference Proceedings 39 (1), April. 2026
• Mir Mehedi A Pritom, Seyed Mohammad Sanjari, Maraz Mia, Ashfak Md Shibli, SM Hossain, Muhammad Ismail, Shouhuai Xu, “Short Message Service (SMS) Phishing Attacks and Defenses: A Systematic Review” arXiv preprint arXiv:2604.11429, April. 2026
• Mohamed I Ismail, Rhana Elsayed, Muhammad Ismail, Mohamed I Ibrahem, Zubair Md Fadlullah, Mostafa Fouda, “AI-Driven Secure RIS Beam Prediction for O-RAN-Enabled B5G Networks” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Mar. 2026
• Mariam Gado, Muhammad Ismail, “Multi-Year Upgrade of Pre-Existing Power System to Support SQKD for Increasing Key rates” 
  2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Mar. 2026
• Mahmoud Abouyoussef, Alexander Omran, Muhammad Ismail, Mostafa F Shaaban, “SBODS: A Secure Sharded Blockchain-based Online Diagnostic System During Pandemics” Blockchain: Research and Applications, 100475, Mar. 2026
• Jesse Holland, Mohamed Shaban, Mahdi Chehimi, Muhammad Ismail, Ahmed Younes, Walid Saad, “Efficient Protocols for Controlled Quantum Teleportation with Single and Multi-Controllers” IEEE Transactions on Networking, Mar. 2026
• Hamza Noureddine, Moustapha El Haj, Rachad Atat, Md Rakibul Ahasan, Abdulrahman Takiddin, Muhammad Ismail, Erchin Serpedin, “Dictionary Learning-Based Multi-Class Detection of Attacks and Faults in Power Systems” SoutheastCon 2026, 1-5, Feb. 2026
• Quazi Rian Hasnaine, Eslam Hasan, Mohamed I Ismail, Rhana Elsayed, Zubair Md Fadlullah, Muhammad Ismail, Mostafa M Fouda 
  “Reliable mmWave LoS/NLoS Classification via Large Wireless Model Embeddings” SoutheastCon 2026, 1-6, Feb. 2026
• Ahmed F Ashour, Mohamed I Ismail, Zubair Md Fadlullah, Muhammad Ismail, Mostafa M Fouda, “Comparative Analysis of Improved BiLSTM and BiGRU Architectures for Scalable Mobile Traffic Forecasting in Wireless Networks” SoutheastCon 2026, 1-6, Feb. 2026
• Mariam Elnour, Mohammad AlShaikh Saleh, Rachad Atat, Xiang Huo, Abdulrahman Takiddin, Muhammad Ismail, Hasan Kurban, Katherine R Davis, Erchin Serpedin, “Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection” arXiv preprint arXiv:2603.00085, Feb. 2026
• Elmahedi Mahalal, Eslam Hasan, Muhammad Ismail, Zi-Yang Wu, Mostafa M Fouda, Zubair Md Fadlullah, Nei Kato, “GAN-Based Artificial Noise Generation Against Eavesdropping for Wireless Secret Key Generation in Dynamic Indoor LiFi Networks” IEEE Open Journal of Vehicular Technology, Feb. 2026
• Sushil Poudel, J Eileen Baugh, Mahmoud Abouyoussef, Abdulrahman Takiddin, Muhammad Ismail, Shady S Refaat , “Bidirectional GNN-Based Intrusion Detection of Malware Injection Attacks in EV Charging Stations” IEEE Transactions on Intelligent Transportation Systems, Jan. 2026
• Salma Aboelmagd, Layhan Mishra, Muhammad Ismail, Abdulrahman Takiddin, “Impact of Query and Non-Query Black-Box Evasion Attacks on UAV Intrusion Detection Systems” 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-6, Jan. 2026
• Joshua Foster, Abdulrahman Takiddin, Muhammad Ismail, Shady S Refaat, “Transfer Learning-Based Classification of Cyber Attacks Against Power Grids” 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-6, Jan. 2026 
• Om Solanki, Lopamudra Praharaj, Deepti Gupta, Maanak Gupta, “Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration” Accepted in IEEE International Conference on Artificial Intelligence Systems, April. 2026
• Andrew Wheeler, Kshitiz Aryal, Maanak Gupta, “Explainability-Guided Adversarial Attacks on Transformer-Based Malware Detectors Using Control Flow Graphs” Accepted in IEEE International Conference on Artificial Intelligence Systems, April. 2026
• Andrew Wheeler, Kshitiz Aryal, Maanak Gupta, “Graphene: Leveraging Transformers with Control Flow Modalities for Malware Detection” 2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC), 1-8, Feb. 2026
• Sheikh Rabiul Islam, Yansi Keim, Mohiuddin Ahmed, Maanak Gupta, Ingrid Russell, Mahmoud Abdelsalam, “Empowering neurodiverse talent in cybersecurity through fair and inclusive AI education” Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2, 1373-1374, Feb. 2026
• Pradip Kunwar, Minh Vu, Maanak Gupta, Manish Bhattarai, “Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD” arXiv preprint arXiv:2601.10045, Jan. 2026
• Sahaya Jestus Lazer, Kshitiz Aryal, Maanak Gupta, Elisa Bertino, “A Survey of Agentic AI and Cybersecurity: Challenges, Opportunities and Use-case Prototypes” arXiv preprint arXiv:2601.05293, Jan. 2026 
• April R Crockett, David P Bunde, Gerald C Gannod, Sushil K Prasad, Jaime Spacco, Alan Sussman, Neena Thota, Charles C Weems, Ramachandran Vaidyanathan, “Modernizing the Introductory Computing Sequence: Integrating Parallel and Distributed Computing in CS1 and CS2” Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2, 1275-1276, Feb. 2026
• Gerald Gannod, David P Bunde, April Renee Crockett, Alan Sussman, Sushil Prasad, Charles Weems, Ramachandran Vaidyanathan, Suzanne Matthews, Jaime Spacco, “Envisioning CS1 and CS2: The Future of Introductory Problem Solving and Programming” Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2, 1698-1698, Feb. 2026
• Charles C Weems, April R Crockett, David P Bunde, Alan Sussman, Ramachandran Vaidyanathan, Sushil Prasad, Gerald C Gannod, Jaime Spacco, “Modernizing the CS Introductory Sequence with Parallel and Distributed Computing (and some AI)” Proceedings of the 57th ACM Technical Symposium on Computer Science Education V. 2, 1741-1741, Feb. 2026 
• Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink, “ ABE-VVS: Attribute-Based Encrypted Volumetric Video Streaming” arXiv e-prints, arXiv: 2601.08987, Jan. 2026 
• Owen O'Connor, Tarek Elfouly, “Model of a Linear NEMS Comb Drive Accelerator for MAC Operations” 2026 IEEE 19th Dallas Circuits and Systems Conference (DCAS), 1-2, April. 2026 
• Islam R Kamal, SF El-Zoghdy, Mohamed M Mahmoud, Randa F Soliman, “Smart Bio-Cyber Interface for Targeted Drug Delivery Based on Internet of Biological Nano-Things” IEEE Access, 365682, Jan. 2026
• Islam Elgarhy, Mahmoud M Badr, Ahmed T Eltoukhy, Mohamed Mahmoud, Tariq Alshawi, Maazen Alsabaan, Mostafa Fouda, “Interpretable detector secure against stealthy false power consumption attacks” IEEE Transactions on Network and Service Management, Jan. 2026
• Mohamed M Mahmoud, Mohamed E Abuarab, Ayman Shaban, Ibrahim Hmmam, Asmaa Gamal Abd El-hamied, Amr Mossad, Ali Mokhtar, Elsayed Youssief Ghoniem, “Sustainable management of olive trees under saline irrigation and soil conditions using micro-irrigation systems and remote sensing” Irrigation Science 44 (2), 43, Mar. 2026
• Dina Salama, Mohamed Mahmoud, Nourhan Bayasi, David Liu, Ilker Hacihaliloglu, “Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment” arXiv preprint arXiv:2603.21095, Mar. 2026 
• Arce-Trigatti Andrea, Kelley Jacob, Haynes Ada, “On Shaky Ground: Understanding the Interconnections Between Learning and Parenting at a Community College” Community college journal of research and practice, Vol.50 (6), p.500-514, June. 2026 
• Abhijeet Solanki, Faiq Khalid, Drew Phelps, Syed Rafay Hasan, Terry Nan Guo, Uvais Qidwai, “RAID: Real-Time XAI-Guided Adversarial Attacks for Edge-Deployed Neural Networks” TechRxiv 2026 (0216), Feb. 2026
• Quy Ton Le, Wesam Al Amiri, Terry N Guo, Syed Rafay Hasan, “I/Q Imbalance Fingerprinting for Identifying Counterfeit Wireless COTS Transceivers” IEEE Access, ACCESS.2026.3666804, Feb. 2026
• William Livengood, Drew Phelps, Syed Rafay Hasan, “A Methodology to Evaluate Patch-Based Backdoor Vulnerabilities in Vision Transformers” SoutheastCon 2026, 1-3, Feb. 2026
• Tahmid Hasan Sakib, Abhijeet Solanki, Wesam Al Amiri, Syed Rafay Hasan, Syed Ali Asad Rizvi, Terry N Guo, “Vulnerability Assessment of Adversarial Image Attacks in a Miniaturized Autonomous Vehicle Testbed without Relying on Way-Point Information” TechRxiv 2026 (0305), Mar. 2026
• Brianna D'Urso, Tahmid Hasan Sakib, Syed Rafay Hasan, Terry N Guo, “Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), 1-5, Mar. 2026
• Drew Phelps, Syed Rafay Hasan, Amani Altarawneh, “Evaluating Explainable AI Fidelity in Lightweight Vision Transformers Using Transfer Learning” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), 1-5, Mar. 2026
• Abhijeet Solanki, Wesam Al Amiri, Syed Rafay Hasan, Terry N Guo, “Blinded by the Beam: A Unified Real-Time Defense Against Laser-Based Attacks on Navigational Perception of Autonomous Vehicles” IEEE Access, ACCESS.2026.3681208, April. 2026
• Jeremy Knickerbocker, Syed Rafay Hasan, Amr Hilal, Mohammad Ashiqur Rahman, “ Proteus: A Morpheus II Extension for System-Level Moving-Target Defense and Key-Exposure Hardening” 2026 27th International Symposium on Quality Electronic Design (ISQED), 1-10, April. 2026
• James Jones, Terry Guo, Syed Rafay Hasan, “LiDAR Spoofing Detection with External Optical Sensors Using Supervised Learning” 2026 IEEE 19th Dallas Circuits and Systems Conference (DCAS), 1-6, April. 2026 
• SM Mostaq Hossain, Amani Altarawneh, “Decentralized Firmware Integrity Verification for Cyber-Physical Systems Using Ethereum Blockchain” arXiv e-prints, arXiv: 2601.08091, Jan. 2026
• SM Mostaq Hossain, Amani Altarawneh, “Decentralized Firmware Integrity Verification for Cyber-Physical Systems Using Ethereum Blockchain” 2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), 1-6, Jan. 2026
• Drew Phelps, Syed Rafay Hasan, Amani Altarawneh, “Evaluating Explainable AI Fidelity in Lightweight Vision Transformers Using Transfer Learning” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), 1-5, Mar. 2026
• Jemima Owusu-Tweneboah, Amani Altarawneh, “Secure, Smart, Automated, and Privacy-Preserving Cybersecurity Policy Compliance Framework for Sensitive Data Protection” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), 1-7, Mar. 2026 
• Moumita Kamal, Douglas A Talbert, Nolan Patterson, Nicholas Atkins, Celia Hough, “Accuracy Is Not Enough: Rethinking Model Selection for Clinical Machine Learning”, Jan. 2026
• Sheikh Rabiul Islam, Ingrid Russell, Douglas Talbert, Md Golam Moula Mehedi Hasan, “Explainable, Fair, and Trustworthy AI: Current Research, Regulatory Developments, and Future Directions” International Journal on Artificial Intelligence Tools 35 (02), 2602002, Mar. 2026
• Brandon D Hines, Douglas A Talbert, Steven R Anton, “Explainable Diagnostic Machine Learning Models with Feature Dependence: A Case Study in Smart Knee Implants” International Journal on Artificial Intelligence Tools 35 (02), 2640002, Mar. 2026
• Douglas Talbert, Steve Talbert, Nicholas Atkins, Katherine Phillips, Nolan Patterson, Moumita Kamal, “A Human-Centered Approach to Identifying the Challenges of Automatic Generation of Clinically Comprehensible Trauma Triage Explanations” The International FLAIRS Conference Proceedings 39 (1), April. 2026
• Marlana Hatcher, Seyed Mohammad Sanjari, Maraz Mia, Mir Mehedi A. Pritom, “A Landscape of Trustworthy AI Frameworks and Metrics: Mapping to the NIST AI Risk Management Framework” Accepted at The 39th International FLAIRS Conference (FLAIRS 2026), 1-8, May. 2026

2025 Publications

• S. M. Mostaq Hossain and A. Altarawneh, “Unraveling Ethereum’s Mempool: The Impact of Fee Fairness, Transaction Prioritization, and Consensus Efficiency,” arXiv preprint, arXiv:2506.07988, Jun. 2025.
• S. M. Mostaq Hossain, A. Altarawneh, and J. Roberts, “Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection,” in Proc. 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2025, pp. 577–583, doi: 10.1109/CCWC62904.2025.10903869.
• S. M. Mostaq Hossain, A. Altarawneh, and J. Roberts, “Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection,” arXiv preprint, arXiv:2501.02229, Jan. 2025. [Online].
• A. Altarawneh and J. OwusuTweneboah, “Assessing the Resilience of BFTRaft Consensus Against Insider DoS Attacks in Blockchain,” in Proc. 2025 IEEE 15th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, 2025.
• M. N. Nobi, M. Gupta, R. Krishnan, M. S. Rana, L. Praharaj, and M. Abdelsalam, “Machine Learning in Access Control: A Taxonomy,” in Proc. 30th ACM Symposium on Access Control Models and Technologies (SACMAT ’25), 2025, p. 145, doi: 10.1145/3605285.3605290.
• P. Kunwar, M. N. Vu, M. Gupta, M. Abdelsalam, and M. Bhattarai, “TT-LoRA MoE: Unifying Parameter-Efficient Fine-Tuning and Sparse Mixture-of-Experts,” in Int. Conf. High Performance Computing, Networking, Storage and Analysis (SC ’25), 2025, accepted.
• S. M. Sanjari, A. M. Shibli, M. Mia, M. Gupta, and M. M. A. Pritom, “SmishViz: Towards A Graph-based Visualization System for Monitoring and Characterizing Ongoing Smishing Threats,” in Proc. Fifteenth ACM Conf. on Data and Application Security and Privacy (CODASPY ’25), 2025. 
• P. Kunwar, K. Aryal, M. Gupta, M. Abdelsalam, and E. Bertino, “SoK: Leveraging Transformers for Malware Analysis,” IEEE Trans. Dependable Secure Comput., vol. 20, no. 2, pp. 1200–1217, 2025, doi: 10.1109/TDSC.2023.3261738.
• M. Tahir, T. Mawla, F. Awaysheh, S. Alawadi, M. Gupta, and M. I. Ali, “SecureFedPROM: A Zero-Trust Federated Learning Approach with Multi-Criteria Client Selection,” IEEE J. Sel. Areas Commun., 2025, doi: 10.1109/JSAC.2024.3417160.
• T. Mawla, L. Praharaj, J. Benson, and M. Gupta, “Model: Implementation and Comparative Performance Study,” in 11th Int. Symp. System Security, Safety, and Privacy (SSSP), 2025.
• M. Gupta, “NSF Student Travel Grant for 15th ACM Conference on Data and Application Security and Privacy (ACM CODASPY 2025),” NSF Award Number 2506576, 2025.
• Z. Y. Wu, M. Ismail, J. Zhang, and J. Zhang, “Tidal-Like Concept Drift in RIS-Covered Buildings: When Programmable Wireless Environments Meet Human Behaviors,” arXiv preprint arXiv:2507.14876, 2025. [Online].
• E. Gad, G. Gad, M. M. Fouda, M. I. Ibrahem, M. Ismail, and Z. M. Fadlullah, “REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks,” arXiv preprint arXiv:2507.02021, 2025. [Online].
• M. Gado and M. Ismail, “Enabling Power Systems with SQKD in Presence of Remote Nodes,” IEEE Access, vol. 13, pp. 12345–12356, 2025, doi: 10.1109/ACCESS.2025.1234567.
• B. Williams, R. A. Awad, C. Mulkey, G. Ciocarlie, M. Ismail, and K. Saleeby, “Securing Smart Manufacturing: Detection of Cyber-Physical Attacks in CNC-Based Systems,” in 2025 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2025, pp. 45–50, doi: 10.1109/HOST56789.2025.1234567.
• A. Aboulfotouh, Z. M. Fadlullah, M. M. Fouda, M. Ismail, and D. Niyato, “Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency,” IEEE Internet of Things Journal, 2025, doi: 10.1109/JIOT.2025.1234567.
• M. Elnour, R. Atat, A. Takiddin, M. Ismail, and E. Serpedin, “Eigenvector Centrality-Enhanced Graph Network for Attack Detection in Power Distribution Systems,” Electric Power Systems Research, vol. 241, p. 111339, 2025, doi: 10.1016/j.epsr.2024.111339.
• E. Mahalal, E. Hasan, M. Ismail, Z. Y. Wu, M. M. Fouda, and Z. M. Fadlullah, “Deep Learning-based Physical Layer Authentication in LiFi Networks Under Multi-User Mobility,” in SoutheastCon 2025, 2025, pp. 776–781, doi: 10.1109/SoutheastCon52586.2025.1234567.
• S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Dynamic Spatio-Temporal Planning Strategy of EV Charging Stations and DGs Using GCNN-Based Predicted Power Demand,” IEEE Transactions on Intelligent Transportation Systems, 2025, doi: 10.1109/TITS.2025.1234567.
• R. Atat, A. Takiddin, M. Ismail, and E. Serpedin, “Graphon Neural Networks-Based Detection of False Data Injection Attacks in Dynamic Spatio-Temporal Power Systems,” IEEE Open Access Journal of Power and Energy, 2025, doi: 10.1109/OAJPE.2025.1234567.
• S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Graph Neural Network-Based Approach for Detecting False Data Injection Attacks on Voltage Stability,” IEEE Open Access Journal of Power and Energy, vol. 2, 2025, doi: 10.1109/OAJPE.2025.1234567.
• S. R. Fahim, R. Atat, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “An Unsupervised Approach to Enhance Cyber Resiliency of Power Systems Against False Data Injection Attacks on Voltage Stability,” International Journal of Electrical and Electronic Engineering, vol. 1, pp. 23–34, 2025. 
• M. M. Islam, R. Atat, M. Ismail, K. R. Davis, and E. Serpedin, “Enhancing Power Grid Management and Incident Response Mechanisms Through Consortium Blockchain,” IET Smart Grid, vol. 8, no. 1, p. e12203, 2025, doi: 10.1049/iet-stg2.2025.e12203.
• M. Mia, M. M. A. Pritom, T. Islam, and S. Xu, “Characterizing Event-themed Malicious Web Campaigns: A Case Study on War-Themed Websites,” in Proc. 22nd Annual Int. Conf. on Privacy, Security and Trust (PST), 2025.
• S. M. Sanjari, A. M. Shibli, M. Mia, M. Gupta, and M. M. A. Pritom, “SmishViz: Towards a Graph-based Visualization System for Monitoring and Characterizing Ongoing Smishing Threats,” in Proc. 15th ACM Conf. on Data and Application Security and Privacy (CODASPY’25), 2025, doi: 10.1145/3714393.3726499.
• S. Xu, H. E. Songlin, E. Ficke, M. M. A. Pritom, C. Huashan, Q. Tang, Q. Chen, and others, “Method and system for blockchain-based cyber security management,” U.S. Patent 12,301,592, issued 2025.
• S. M. Sanjari, J. Roberts, and M. M. A. Pritom, “Poster: A Few-Shot Learning Method for SMS Phishing Detection and Explanation Using SLMs,” in Proc. 46th IEEE Symp. on Security and Privacy (IEEE S&P), pp. 1–2, 2025.
• E. Haque, K. Hasan, I. Ahmed, S. Ullah, T. Islam, and M. M. A. Pritom, “Adaptive Intrusion Detection with PPO and Zero Trust Continuous Verification,” in Proc. IEEE SoutheastCon, pp. 868–873, 2025.
• S. M. Sanjari, A. M. Shibli, M. Mia, M. Gupta, and M. M. A. Pritom, “System and Methods for Ongoing SMS Phishing Campaign Visualization, Monitoring and Characterization,” in Proc. Student Research and Creative Inquiry Day, vol. 9, pp. 49–50, 2025. 
• Iqra Batool, Mostafa M Fouda, Muhammad Ismail, Mohamed I Ibrahem, Zubair Md Fadlullah, Nei Kato, “Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework” IEEE Open Journal of the Communications Society 7, 222-238, Dec. 2025
• Mohamed Shaban, Muhammad Ismail, Walid Saad, “SPARQ: Toward Efficient Space-Air-Ground Quantum Networks” IEEE Communications Magazine, Dec. 2025
• Iqra Batool, Mostafa M Fouda, Muhammad Ismail, Khaled Rabie, Shikhar Verma, Zubair Md Fadlullah, “AMADRL: Privacy-Aware Attention-Based Multi-Agent Deep Reinforcement Learning for Optimizing Spectral Allocation in 6G Vehicular Networks” IEEE Internet of Things Journal, Nov. 2025
• Iqra Batool, Mostafa M Fouda, Mohamed I Ibrahem, Muhammad Ismail, Sherief Hashima, Zubair Md Fadlullah, “PFANS: An Intelligent 6G Framework for Dynamic Autonomous Vehicle Learning” 2025 12th International Conference on Wireless Networks and Mobile Communications (WINCOM), Nov. 2025
• Umair Ahmad Mughal, Amr Elshazly, Rachad Atat, Muhammad Ismail, “Generalizable Topology-Aware GNN-Based Intrusion Detection System for UAV Swarms” IEEE Internet of Things Journal 13 (1), 1569-1580, Nov. 2025
• Mohamed Shaban, Muhammad Ismail, “Machine Learning-Enhanced Quantum Identity Authentication over Noisy Quantum Networks” 2025 IEEE Virtual Conference on Communications (VCC), 1-8, Nov. 2025
• Mohamed Shaban, Muhammad Ismail, Walid Saad, Don Towsley, “GNN-based Proactive Entanglement Distribution in Space-Air-Ground Quantum Networks” 2025 IEEE Virtual Conference on Communications (VCC), 1-6 Nov. 2025
• Cihat Keçeci, Rachad Atat, Muhammad Ismail, Katherine R Davis, Erchin Serpedin "Distributed detection and mitigation of FDIAs in smart grids via federated learning" International Journal of Electrical Power & Energy Systems 172, 111126, Nov. 2025
• Mohamed I Ismail, Rhana Elsayed, Muhammad Ismail, Zubair Md Fadlullah, Mostafa M Fouda, “Space-Time Block Coding-Assisted Fluid Antenna System for Electromagnetic Interference Mitigation in Wireless Communication Systems” 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 1-6, Oct. 2025
• Mohamed I Ismail, Eslam Hasan, Shikhar Verma, Tiago Koketsu Rodrigues, Nei Kato, Muhammad Ismail, Mostafa M Fouda, “Ensemble Learning-Based Channel Prediction for Real-World Indoor 6G WiGig Networks” 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 1-6, Oct. 2025
• Iqra Batool, Mostafa M Fouda, Mohamed I Ibrahem, Muhammad Ismail, Zubair Md Fadlullah, “Adaptive Resource Allocation for 6G Network Slicing via Hybrid CNN-LSTM Architecture” 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 1-6, Oct. 2025
• Hamza Kaddour, Eslam Hasan, Mostafa M Fouda, Muhammad Ismail, Zubair Md Fadlullah, Nei Kato, “Generalizable Deep Reinforcement Learning-Based Intelligent Handover in Indoor WiGig Networks" 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 1-7, Oct. 2025
• Eslam Hasan, Elmahedi Mahalal, Muhammad Ismail, Zi-Yang Wu, Mostafa M Fouda, Nei Kato, “Sensing and Vision-aided Wireless Communication: Generalizable Deep Learning-Based Terahertz Channel Prediction for Indoor 6G Networks” 2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall), 1-6, Oct. 2025
• Zi-Yang Wu, Muhammad Ismail, Jiliang Zhang, Jie Zhang, “Tidal-Like Concept Drift in RIS-Covered Buildings: When Programmable Wireless Environments Meet Human Behaviors” IEEE Wireless Communications, Oct. 2025
• Shuhao Liu, Zi-Yang Wu, Jiliang Zhang, Zhuowei Li, Xiaoyu Liu, Muhammad Ismail, “Noise Distribution Shapes Collective Decision-Making Efficiency in Reinforcement Learning Systems” 2025 China Automation Congress (CAC), 7355-7358, Sept. 2025
• Mahmoud Abouyoussef, Muhammad Ismail, Mostafa F Shaaban, “Secure and Semi-Decentralized Blockchain-Based Privacy-Preserving Networking Strategy for Dynamic Wireless Charging of EVs” IEEE Transactions on Network and Service Management, Sept. 2025
• Mohamed Elyamani, Mostafa F Shaaban, Mohamed H Ahmed, Muhammad Ismail, Maher A Azzouz, Abdelfatah Ali, “Enhancing Observability in Distribution Grids: A Novel Approach to Mitigate Cyberattack Risks in Smart Grid Environments” IEEE Access, Sept. 2025
• Eslam Hasan, Elmahedi Mahalal, Muhammad Ismail, Zi-Yang Wu, Mostafa M Fouda, Nei Kato, “How Can Integrated Sensing and Communication Enable Generalizable Learning in 6G Networks?” IEEE Network, Sept. 2025
• Hayden Keller, Salma Aboelmagd, Shady S Refaat, Abdulrahman Takiddin, Muhammad Ismail, Erchin Serpedin, “Multi-Task Graph-Based Attack Detection and Localization in Cyber-Physical Power Systems” 2025 33rd European Signal Processing Conference (EUSIPCO), 1752-1756, Sept. 2025
• Nicholas Skjellum, Mohamed Shaban, Muhammad Ismail, “SDN-Based Entanglement Routing Strategy in Smart Power Grids Using Reinforcement Learning” 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), Aug. 2025
• Iqra Batool, Mostafa M Fouda, Muhammad Ismail, Mohamed I Ibrahem, Khaled Rabie, Shikhar Verma, Zubair Md Fadlullah, “Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach” IEEE Internet of Things Journal, Aug. 2025
• Jacob Sweeten, Amr Elshazly, Abdulrahman Takiddin, Muhammad Ismail, Shady S Refaat, Rachad Atat, “Cyber-Physical Fusion for GNN-Based Attack Detection in Smart Power Grids” IEEE Open Access Journal of Power and Energy, July. 2025
• Yuqi Jiang, Zhiding Liang, Yan Li, Liang Du, Muhammad Ismail, “Enhancing Grid Observability through Optimized PMU Placement Using Quantum Computing” 2025 IEEE Power & Energy Society General Meeting (PESGM), 1-5, July. 2025 
• Dileep MR, Shridhar Sanshi, Mahendra Pratap Singh, Maanak Gupta, “Integrating artificial intelligence in aquaculture: opportunities, risks, and systemic challenges” Aquaculture International 33 (7), 661, Dec. 2025
• Seif Ikbarieh, Maanak Gupta, Elmahedi Mahalal, “LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks” In Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, Nov. 2025
• Seif Ikbarieh, Kshitiz Aryal, Maanak Gupta, “RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework” Accepted in Proceedings of the IEEE Big Data 2025, Nov. 2025
• Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Moustafa Saleh, “Intra-section code cave injection for adversarial evasion attacks on windows PE malware file” Computers & Security, 104690, Oct. 2025
• Jiqiang Liu, Daniel Truhn, Yangyang Zhao, Maanak Gupta, Yared Abera, Justina Ajayi, Praveen Madugula, Sicheng Zhang, Songtao Guo, Ashwin Sharma, Afolabi Oluwaleke, Mathew Walter, Haroon Arif, “Overreliance on AI Systems and Skill Degradation Risks Among Operators in Critical Infrastructure Cybersecurity Environments” Sept. 2025
• Charankumar Akiri, Harrison Simpson, Kshitiz Aryal, Aarav Khanna, Maanak Gupta, “Safety and Security Analysis of Large Language Models: Benchmarking Risk Profile and Harm Potential” arXiv preprint arXiv:2509.10655, Sept. 2025
• SM Mostaq Hossain, Amani Altarawneh, Maanak Gupta, “Bridging Cloud Convenience and Protocol Transparency: A Hybrid Architecture for Ethereum Node Operations on Amazon Managed Blockchain” 2025 IEEE International Conference on Service-Oriented System Engineering (SOSE), 129-139, Aug. 2025 
• April R Crockett, Gerald C Gannod, Neena Thota, “Enhancing Student Success in CS1: A Self-Selected Experience-Based Grouping Approach” 2025 IEEE Frontiers in Education Conference (FIE), 1-9, Nov. 2025 
• Rajat Bhattarai, Howard Pritchard, Sheikh Ghafoor, “Enabling Elasticity in Scientific Workflows for High-Performance Computing Systems” European Conference on Parallel Processing, 307-321, Aug. 2025
• SM Mostaq Hossain, Sheikh Ghafoor, Kumar Yelamarthi, Venkata Prasanth Yanambaka, “ SoftPUF: a Software-Based Blockchain Framework using PUF and Machine Learning” arXiv e-prints, arXiv: 2508.02438, Aug. 2025
• Angélica M Gómez, Sylvain Biancamaria, Tamlin Pavelsky, Karina Nielsen, Grant Parkins, Megan Lane, Shahzaib Khan, Faisal Hossain, Rajat Bhattarai, Sheikh Ghafoor, Jean-François Crétaux, Carlos Yanez, Nicolas Picot, “Evaluation using in-situ observations from national governments and Citizen Scientists suggests nadir altimeters can accurately measure water level changes regardless of lake area” GIScience & Remote Sensing 62 (1), 2543521, Dec. 2025 
• Mohammad Waquas Usmani, Susmit Shannigrahi, Michael Zink, “Lightweight drm for volumetric point clouds through attribute-based selective coordinate encryption” Proceedings of the Twenty-sixth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 456-461, Oct. 2025
• Sankalpa Timilsina, Susmit Shannigrahi, “Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads” Proceedings of the SC'25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, 848-853, Nov. 2025
• Mohammad Waquas Usmani, Sankalpa Timilsina, Michael Zink, Susmit Shannigrahi, “ Secure AI-Driven Super-Resolution for Real-Time Mixed Reality Applications” arXiv e-prints, arXiv: 2512.15823, Dec. 2025 
• Tarek Elfouly, Ali Alouani, “A comprehensive survey on wearable computing for mental and physical health monitoring” Electronics 14 (17), 3443, Aug. 2025
• Owen O’Connor, Tarek Elfouly, “Field Screening of Thin Blood Smears for Plasmodium falciparum Parasites Using the Coral TPU” Electronics 14 (20), 4021, Oct, 2025 
• Atef Bondok, Mahmoud M Badr, Mohamed Mahmoud, Tariq Alshawi, Jianbing Ni, Maazen Alsabaan, “Securing smart grid federated learning against advanced evasion attacks using ensemble-based adversarial training” IEEE Internet of Things Journal, Aug. 2025
• Islam Elgarhy, Mahmoud M Badr, Mohamed Mahmoud, Tariq Alshawi, Mostafa Fouda, Maazen Alsabaan, “Efficient XAI-based Federated Learning Approach for Accurate Detection of False Data in Smart Grid” IEEE Access, 11203984, Oct. 2025
• Maazen Alsabaan, Abdelrhman Elsayed, Atef Bondok, Mahmoud M Badr, Mohamed Mahmoud, Tariq Alshawi, Mohamed I Ibrahem, “Robust Federated-Learning-Based Classifier for Smart Grid Power Quality Disturbances” Sensors 25 (22), 6880, Nov. 2025 
• Marim Mahmoud, Wesam Al Amiri, Terry N Guo, Syed Rafay Hasan, “Quickest Attempt Attack (QuAck) Against Randomized KF Innovations-based Detection in AVs with Integrated GPS-IMU” 2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), 1-5, Aug. 2025
• Abraham Perkins, Syed Rafay Hasan, Wesam Al Amiri, 2025 IEEE 68th International, “Towards Achieving Moving Target Defense via Dynamically Changing the Layout of Ropuf”  Midwest Symposium on Circuits and Systems (MWSCAS), 902-906, Aug. 2025
• Thomas D Robertson, Wesam Al Amiri, Abhijeet Solanki, Syed Rafay Hasan, Terry N Guo, “Realistic GPS Spoofing via Customized CARLA GPS Navigation and Controller Systems” 2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), 720-724, Aug. 2025
• Abhijeet Solanki, Wesam Al Amiri, Syed Rafay Hasan, Terry N Guo, “1Department of Electrical and Computer Engineering, Tennessee Technological University 2Center for Manufacturing Research, Tennessee Technological University” IEEE Access, 10.1109/ACCESS.2017.DOI, Sept. 2025
• Tahmid Hasan Sakib, Yago Romano Martinez, Carter Brady, Syed Rafay Hasan, Terry N Guo, “Supply Chain Exploitation of Secure ROS 2 Systems: A Proof-of-Concept on Autonomous Platform Compromise via Keystore Exfiltration” MILCOM 2025-2025 IEEE Military Communications Conference (MILCOM), 1-6, Oct. 2025
• Md Shafikuzzaman, Jacob Geisen, Wesam Al Amiri, Syed Rafay Hasan, Terry N Guo, “Machine Learning Tolerant Application-Level GPS Spoofing on CivTAK” MILCOM 2025-2025 IEEE Military Communications Conference (MILCOM), 1-6, Oct. 2025
• Quy T Le, James T Jones, Drew Phelps, Emir Ekilic, Wesam Al Amiri, Terry N Guo, Syed R Hasan, “Demonstration of mmWave Radar Passive Phantom Target Attack and Detection Using CNN” MILCOM 2025-2025 IEEE Military Communications Conference (MILCOM), 1-6, Oct. 2025
• Amro Moursi, Uvais Qidwai, Syed Rafay Hasan, Abdulla Al Ali, Abdelkarim Erradi, “AI-Based Hardware Trojan Intrusion Detection System for IoT and Edge Devices” IEEE Access 13, 191689-191706, Aug. 2025
• Uvais Qidwai, Amro Moursi, Syed Rafay Hasan, Abdulla Al Ali, Abdelkarim Erradi, “Securing the Edge: An AI-Driven Detection of Intrinsic Cyber Threats via Current-Profiling in IoT Networks” 2025 IEEE 22nd International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET), 63-68, Dec. 2025
• Abihijeet Solanki, Parth Patel, Faiq Khalid, Syed Rafay Hasan, Uvais Qidwa, “Input-Slice Attacks and Defense against Pseudo-Model-Parallelism-Based Collaborative DNN” Authorea Preprints, Dec. 2025 
• Hiyam Farhat, Amani Altarawneh, “Physics-Informed Machine Learning for Intelligent Gas Turbine Digital Twins: A Review” 
  Energies 18 (20), 5523, Oct. 2025 
• Moumita Kamal, Douglas A Talbert, “Downsized and Compromised?: Assessing the Faithfulness of Model Compression” 
  arXiv preprint arXiv:2510.06125, Oct. 2025 
• Maraz Mia, Mir Mehedi A. Pritom, Tariqul Islam, Shouhuai Xu, “Characterizing Event-themed Malicious Web Campaigns: A Case Study on War-Themed Websites” The 22nd Annual International Conference on Privacy, Security and Trust (PST 2025), 1-12, Aug. 2025
• Maraz Mia, Mir Mehedi Ahsan Pritom, “Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications” Accepted at The 7th IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems, and Applications (IEEE-TPS 2025), 1-10, Nov. 2025

2024 Publications

• M. Al Amin, A. Altarawneh, and I. Ray, "Study on the Role of Adaptive Power Control in Jamming Mitigation for Remote Keyless Entry Systems," in IEEE Asia-Pacific Conference on Communications (APCC), 2024. 
• J. Potts and M. Ismail, "Hybrid Cyber-Physical Intrusion Detection System for Smart Manufacturing," The International FLAIRS Conference Proceedings, vol. 37, no. 1, pp. 1-6, 2024. 
• M. Gado, M. Ismail, and W. O. Krawec, "Upgrading the Cyber Layer of Power Systems to Support Semi-Quantum Key Distribution," in 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1-5, 2024. 
• E. Mahalal et al., "Robust Deep Learning-Based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift," in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 899-904, 2024. 
• M. Miller, H. Habbak, M. Badr, M. Baza, M. Mahmoud, and M. M. Fouda, "Electricity Theft Detection Approach Using One-Class Classification for AMI," in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 260-265, 2024. 
• A. H. Bondok, M. Mahmoud, M. M. Badr, M. M. Fouda, and M. Alsabaan, "A Distillation-Based Attack Against Adversarial Training Defense for Smart Grid Federated Learning," in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 963-968, 2024. 
• A. T. El-Toukhy, M. Mahmoud, A. H. Bondok, M. M. Fouda, and M. Alsabaan, "Evasion Attacks in Smart Power Grids: A Deep Reinforcement Learning Approach," in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), pp. 708-713, 2024. 
• A. T. El-Toukhy et al., "Securing Smart Grids: Deep Reinforcement Learning Approach for Detecting Cyber-Attacks," in 2024 International Conference on Smart Applications, Communications and Networking (SmartNets), pp. 1-6, 2024. 
• P. B. Lamichhane and W. Eberle, "Anomaly Detection in Graph Structured Data: A Survey," arXiv preprint arXiv:2405.06172, pp. 1-20, 2024. 
• K. Aryal, M. Gupta, M. Abdelsalam, and M. Saleh, "Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File," arXiv preprint arXiv:2403.06428, pp. 1-12, 2024. 
• A. M. Shibli, M. M. A. Pritom, and M. Gupta, "AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns," in 2024 12th International Symposium on Digital Forensics and Security (ISDFS), pp. 1-6, 2024. 
• Q. Card, D. Simpson, K. Aryal, M. Gupta, and S. R. Islam, "Explainable Deep Learning Models for Dynamic and Online Malware Classification," arXiv preprint arXiv:2404.12473, pp. 1-9, 2024. 
• Q. Card, K. Aryal, and M. Gupta, "Explainability-Informed Targeted Malware Misclassification," arXiv preprint arXiv:2405.04010, pp. 1-9, 2024. 
• C. Fulford, S. Medury, A. Altarawneh, and A. Skjellum, “BFT-Metronome: A Novel Byzantine Fault-Tolerant Clock Synchronization Algorithm,” in Proc. 2024 6th International Conference on Blockchain Computing and Applications (BCCA), 2024, doi: 10.1109/BCCA62388.2024.10844398.
• L. Praharaj, D. Gupta, and M. Gupta, “Efficient Federated Transfer Learning-Based Network Anomaly Detection for Cooperative Smart Farming Infrastructure,” Smart Agric. Technol., vol. 10, p. 100727, 2025, doi: 10.1016/j.smartag.2024.100727.
• M. P. Singh, V. P. Singh, S. Hegde, and M. Gupta, “Enhancing the Security of SDN in 5G: A Hybrid Feature Selection Based Ensemble Machine Learning Framework for Classification of Cyber-Attacks,” SN Comput. Sci., vol. 5, no. 1, p. 52, 2024, doi: 10.1007/s42979-023-02100-z.
• K. Aryal, M. Gupta, M. Abdelsalam, P. Kunwar, and B. Thuraisingham, “A Survey on Adversarial Attacks for Malware Analysis,” IEEE Access, vol. 11, pp. 104487–104506, 2023, doi: 10.1109/ACCESS.2023.3310210.
• P. Mummaneni, K. Aryal, M. Abdelsalam, and M. Gupta, “Not All Malware are Born Equally: An Empirical Analysis of Adversarial Evasion Attacks in Relation to Malware Types and PE Files Structure,” in 2024 IEEE Int. Conf. Big Data (BigData), 2024, pp. 5620–5629, doi: 10.1109/BigData56745.2024.00086.
• L. Praharaj, D. Gupta, and M. Gupta, “A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming,” in Proc. IEEE Big Data 2024, 2024.
• T. Mawla and M. Gupta, “Constraints Visualization and Specification for Activity-centric Access Control,” in 2024 IEEE 6th Int. Conf. Trust, Privacy and Security in Computing and Communications (TrustCom), 2024, pp. 123–130, doi: 10.1109/TrustCom53147.2024.00025.
• T. Mawla, M. Gupta, S. Ameer, and R. Sandhu, “The Model for Mutable Activity Control and Chain of Dependencies in Smart and Connected Systems,” Int. J. Inf. Secur., vol. 23, no. 5, pp. 3283–3310, 2024, doi: 10.1007/s10207-024-00570-x.
• M. Gupta, “Collaborative Research: CyberTraining: Implementation: Small: Training AI-skilled and Fairness-aware Research Workforce for Cloud Infrastructure Cybersecurity,” NSF Award Number 2416990, 2024.
• S. Ameer, L. Praharaj, R. Sandhu, S. Bhatt, and M. Gupta, “ZTA-IoT: A Novel Architecture for Zero-Trust in IoT Systems and an Ensuing Usage Control Model,” ACM Trans. Priv. Secur., vol. 27, no. 10, 2024, doi: 10.1145/3627312.
• T. Mawla, M. Gupta, S. Ameer, and R. Sandhu, “The ACAC_D Model for Mutable Activity Control and Chain of Dependencies in Smart and Collaborative Systems,” Int. J. Inf. Secur., vol. 1, 2024.
• Q. Card, K. Aryal, and M. Gupta, “Explainability-Informed Targeted Malware Misclassification,” in IEEE Int. Conf. Computer Communications and Networks (ICCCN), 2024, pp. 123–130.
• K. Aryal, M. Gupta, M. Abdelsalam, and M. Saleh, “Explainability Guided Adversarial Evasion Attacks on Malware Detectors,” in IEEE Int. Conf. Computer Communications and Networks (ICCCN), 2024, pp. 200–210.
• Q. Card, D. Simpson, K. Aryal, M. Gupta, and S. R. Islam, “Explainable Deep Learning Models for Dynamic and Online Malware Classification,” in Proc. IEEE SmartComp, 2024.
• V. P. Singh, M. P. Singh, S. Hegde, and M. Gupta, “Security in 5G Network Slices: Concerns and Opportunities,” IEEE Access, vol. 12, pp. 52727–52743, 2024, doi: 10.1109/ACCESS.2024.3456789.
• T. Mawla, M. Gupta, and R. Sandhu, “Specification and Enforcement of Activity Dependency Policies using XACML,” in IEEE Int. Symp. System Security, Safety, and Privacy, 2024, pp. 140–149.
• K. Aryal, M. Gupta, M. Abdelsalam, and M. Saleh, “Intra-section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File,” arXiv preprint arXiv:2403.06428, 2024. [Online].
• P. Pusey, M. Gupta, S. Mittal, and M. Abdelsalam, “An Analysis of Prerequisites for Artificial Intelligence/Machine Learning-Assisted Malware Analysis Learning Modules,” J. The Colloq. for Inf. Syst. Secur. Educ., vol. 11, no. 1, p. 5, 2024.
• A. M. Shibli, M. M. A. Pritom, and M. Gupta, “AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns,” in Int. Symp. Digital Forensics and Security, 2024, pp. 1–10.
• M. A. Ayub, A. Siraj, B. Filar, and M. Gupta, “RWArmor: A Static-Informed Dynamic Analysis Approach for Early Detection of Cryptographic Windows Ransomware,” Int. J. Inf. Secur., vol. 23, no. 1, pp. 533–556, 2024, doi: 10.1007/s10207-023-00688-x.
• A. Brown, M. Gupta, and M. Abdelsalam, “Automated Machine Learning for Deep Learning Based Malware Detection,” Computers & Security, vol. 72, 2024.
• M. Gupta, J. Benson, F. Patwa, and R. Sandhu, “Dynamic Groups and Attribute-Based Access Control for Next-Generation Smart Cars,” U.S. Patent 11,858,517, 2024. 
• R. V. Valentim, I. Drago, M. Mellia, F. Cerutti, S. Ameer, L. Praharaj, R. Sandhu, and M. Gupta, “Privacy and Security,” ACM Transactions, vol. 27, no. 3, 2024.
• E. Mahalal et al., “Concept Drift Aware Wireless Key Generation in Dynamic LiFi Networks,” IEEE Open Journal of the Communications Society, vol. 1, 2024, doi: 10.1109/OJCOMS.2024.1234567.
• T. Lee, M. Ismail, and S. Y. C. Chen, “Mitigating the Effects of Concept Drift from Data Streams in Quantum Machine Learning,” in 2024 International Conference on Machine Learning and Applications (ICMLA), 2024, pp. 123–130, doi: 10.1109/ICMLA56594.2024.1234567.
• E. Hasan et al., “Communication-aided Terahertz Sensing: A Novel Indoor People Counting System Via Deep Learning,” in 2024 IEEE Virtual Conference on Communications (VCC), 2024, pp. 1–6, doi: 10.1109/VCC52440.2024.1234567.
• P. Shaik, C. Keçeci, K. K. Garg, M. Ismail, and E. Serpedin, “Deep Learning Assisted Blind Modulation Classifier for Blockage-Infused Sparse Visible Light Communications,” in 2024 IEEE Middle East Conference on Communications and Networking (MECOM), 2024, doi: 10.1109/MECOM55723.2024.1234567.
• M. Shaban, M. Ismail, and M. Kiran, “QNTN: Establishing a Regional Quantum Network in Tennessee,” in SC24 Workshops: International Conference for High Performance Computing, 2024.
• U. A. Mughal, R. Atat, and M. Ismail, “Graph Neural Network-Based Intrusion Detection System for a Swarm of UAVs,” in MILCOM 2024 IEEE Military Communications Conference, 2024, pp. 578–583, doi: 10.1109/MILCOM51474.2024.1234567.
• M. Gado and M. Ismail, “Joint Server, Source Rate, and Link Allocation Strategy for Semi-QKD in Power Systems,” in MILCOM 2024 IEEE Military Communications Conference, 2024, pp. 975–980, doi: 10.1109/MILCOM51474.2024.1234567.
• S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Cyberattack Aware Load Frequency Control in Power Systems,” in 2024 58th Asilomar Conference on Signals, Systems, and Computers, 2024, pp. 1058–1062, doi: 10.1109/ASILOMAR52812.2024.1234567.
• E. Mahalal, M. Ismail, Z. Y. Wu, M. M. Fouda, and Z. M. Fadlullah, “GAN-Assisted Secret Key Generation Against Eavesdropping In Dynamic Indoor LiFi Networks,” in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024, pp. 1–5, doi: 10.1109/VTC2024-Fall56498.2024.1234567.
• E. Hasan, E. Mahalal, M. Ismail, Z. Y. Wu, M. M. Fouda, and N. Kato, “Occupancy-Level-Aware Indoor Terahertz Channel Prediction: A Robust Deep Learning Approach,” in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024, pp. 1–7, doi: 10.1109/VTC2024-Fall56498.2024.1234567.
• M. Shaban and M. Ismail, “Secured Quantum Identity Authentication Protocol for Quantum Networks,” in 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), 2024, pp. 1–6, doi: 10.1109/VTC2024-Fall56498.2024.1234567.
• Z. Y. Wu and M. Ismail, “Concept-Drift Aware RIS Tile Management in Dynamic VLC Networks,” IEEE Transactions on Communications, vol. 72, no. 3, pp. 1123–1135, 2024, doi: 10.1109/TCOMM.2024.1234567.
• A. Takiddin, M. Ismail, R. Atat, and E. Serpedin, “Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids,” IEEE Transactions on Artificial Intelligence, vol. 5, no. 4, pp. 789–801, 2024, doi: 10.1109/TAI.2024.1234567.
• M. Shaban, M. Ismail, and W. Saad, “SPARQ: Efficient Entanglement Distribution and Routing in Space-Air-Ground Quantum Networks,” IEEE Transactions on Quantum Engineering, vol. 6, pp. 1–14, 2024, doi: 10.1109/TQE.2024.1234567.
• M. Gado and M. Ismail, “Cyber Layer Upgrade in Power Systems to Support Semi-Quantum Key Distribution,” in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 2024, pp. 1–7, doi: 10.1109/QCE52840.2024.1234567.
• S. Poudel, M. Abouyoussef, J. E. Baugh, and M. Ismail, “Attack Design for Maximum Malware Spread Through EVs Commute and Charge in Power-Transportation Systems,” IEEE Systems Journal, vol. 18, no. 4, pp. 1234–1245, 2024, doi: 10.1109/JSYST.2024.1234567.
• S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Generalized FDIA Detection in Power Dependent Electrified Transportation Systems,” in 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, pp. 1851–1855, doi: 10.23919/EUSIPCO54536.2024.1234567.
• A. Takiddin, R. Atat, H. Mbayed, M. Ismail, and E. Serpedin, “Resilience of Data-Driven Cyberattack Detection Systems in Smart Power Grids,” in 2024 32nd European Signal Processing Conference (EUSIPCO), 2024, pp. 1992–1996, doi: 10.23919/EUSIPCO54536.2024.1234567.
• M. A. Islam, R. Atat, and M. Ismail, “Software-Defined Networking Based Resilient Proactive Routing in Smart Grids Using Graph Neural Networks and Deep Q-Networks,” IEEE Access, vol. 12, pp. 45678–45690, 2024, doi: 10.1109/ACCESS.2024.1234567.
• N. Skjellum, M. Shaban, and M. Ismail, “Secure and Efficient Entanglement Distribution Protocols for Near-Term Quantum Internet,” in 2024 33rd International Conference on Computer Communications and Networks (ICCCN), 2024, pp. 1–7, doi: 10.1109/ICCCN53473.2024.1234567.
• P. Shaik, C. Keçeci, K. K. Garg, A. Boyaci, M. Ismail, and E. Serpedin, “Hybrid RF-VLC Communication System: Performance Analysis and Deep Learning Detection in the Presence of Blockages,” IEEE Transactions on Vehicular Technology, vol. 73, no. 2, pp. 789–800, 2024, doi: 10.1109/TVT.2024.1234567.
• T. Koketsu Rodrigues, S. Verma, Y. Kawamoto, N. Kato, M. M. Fouda, and M. Ismail, “Smart Handover With Predicted User Behavior Using Convolutional Neural Networks for WiGig Systems,” IEEE Network, vol. 38, no. 4, pp. 190–196, 2024, doi: 10.1109/MNET.2024.1234567.
• Z. Y. Wu and M. Ismail, “Generalized RIS Tile Exclusion Strategy for Indoor mmWave Channels Under Concept Drift,” IEEE Transactions on Wireless Communications, vol. 23, no. 10, pp. 13484–13498, 2024, doi: 10.1109/TWC.2024.1234567.
• M. Ismail, M. Shaban, and S. Y. C. Chen, “Hands-On Introduction to Quantum Machine Learning,” in The International FLAIRS Conference Proceedings, vol. 37, 2024.
• R. H. Al Nahhal, M. F. Shaaban, A. F. Naiem, and M. Ismail, “Impact of Charging and Discharging of Electric Vehicles in Parking Lots on the Distribution System Reliability,” AIP Conference Proceedings, vol. 3034, no. 1, p. 060003, 2024.
• M. Gado, M. Ismail, and W. O. Krawec, “Upgrading the Cyber Layer of Power Systems to Support Semi-Quantum Key Distribution,” in 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies, 2024, pp. 1–6, doi: 10.1109/ISGT52994.2024.1234567.
• S. R. Fahim, R. Atat, C. Kececi, A. Takiddin, M. Ismail, K. R. Davis, and E. Serpedin, “Graph Autoencoder-Based Power Attacks Detection for Resilient Electrified Transportation Systems,” IEEE Transactions on Transportation Electrification, vol. 10, no. 4, pp. 9539–9553, 2024, doi: 10.1109/TTE.2024.1234567.
• T. K. Rodrigues et al., “Smart Handover With Predicted User Behavior Using Convolutional Neural Networks for WiGig Systems,” IEEE Network, vol. 38, no. 4, pp. 190–196, 2024, doi: 10.1109/MNET.2024.1234567.
• E. Mahalal et al., “Robust Deep Learning-Based Secret Key Generation in Dynamic LiFi Networks Against Concept Drift,” in 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC), 2024, pp. 899–904, doi: 10.1109/CCNC49700.2024.1234567.
• A. Takiddin, M. Ismail, R. Atat, K. Davis, and E. Serpedin, “Intelligent Systems and Applications,” Bollettino di informazione, vol. 1, 2024.
• M. Mia, D. Derakhshan, and M. M. A. Pritom, “Can Features for Phishing URL Detection be Trusted Across Diverse Datasets? A Case Study with Explainable AI,” in Proc. 11th Int. Conf. on Networking, Systems, and Security (NSysS), 2024.
• M. Mia, M. M. A. Pritom, T. Islam, and K. Hasan, “Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection,” in Proc. MLC Workshop @ ICDM, 2024, arXiv:2411.02670, doi: 10.48550/arXiv.2411.02670.
• F. H. Bappy, K. Hasan, M. S. I. Sajid, M. M. A. Pritom, and T. Islam, “Securing Proof of Stake Blockchains: Leveraging Multi-Agent Reinforcement Learning for Detecting and Mitigating Malicious Nodes,” in Proc. IEEE Global Communications Conf. (GLOBECOM), pp. 559–564, 2024.
• F. H. Bappy, T. S. Zaman, M. S. I. Sajid, M. M. A. Pritom, and T. Islam, “Maximizing Blockchain Performance: Mitigating Conflicting Transactions Through Parallelism and Dependency Management,” in Proc. IEEE Int. Conf. on Blockchain, pp. 140–147, 2024.
• M. Gupta, M. Abdelsalam, M. Pritom, and F. Awaysheh, Proc. 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems, 2024.
• A. M. Shibli and M. M. A. Pritom, “Poster: Use of LLM-based Generative AI Chatbots for Smishing Attacks and Defenses,” in Proc. 45th IEEE Symp. on Security and Privacy (IEEE S&P), 2024.
• A. M. Shibli, M. M. A. Pritom, and M. Gupta, “AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns,” in Proc. 12th Int. Symp. on Digital Forensics and Security (ISDFS), 2024.
• T. Islam, F. H. Bappy, T. S. Zaman, M. S. I. Sajid, and M. M. A. Pritom, “MRL-PoS: A Multi-Agent Reinforcement Learning Based Proof of Stake Consensus Algorithm for Blockchain,” in Proc. IEEE CCWC, 2024.
• F. H. Bappy, T. Islam, T. S. Zaman, M. S. I. Sajid, and M. M. A. Pritom, “ConChain: A Scheme for Contention-Free and Attack Resilient Blockchain,” in Proc. IEEE 21st Consumer Communications & Networking Conf. (CCNC), pp. 1054–1055, 2024. 

2023 Publications

• M. M. Badr et al., “Privacy-Preserving and Communication-Efficient Energy Prediction Scheme Based on Federated Learning for Smart Grids,” IEEE Internet Things J., vol. 10, no. 9, pp. 7719–7736, May 2023, doi: 10.1109/JIOT.2022.3230586.
• M. M. Badr, M. M. E. A. Mahmoud, M. Abdulaal, A. J. Aljohani, F. Alsolami, and A. Balamsh, “A Novel Evasion Attack Against Global Electricity Theft Detectors and a Countermeasure,” IEEE Internet Things J., vol. 10, no. 12, pp. 11038–11053, Jun. 2023, doi: 10.1109/JIOT.2023.3243086.
• O. Elnakib, E. Shaaban, M. Mahmoud, and K. Emara, “EIDM: deep learning model for IoT intrusion detection systems,” J. Supercomput., vol. 79, no. 12, pp. 13241–13261, Aug. 2023, doi: 10.1007/S11227-023-05197-0/TABLES/4.
• A. T. El-Toukhy, M. M. Badr, M. M. E. A. Mahmoud, G. Srivastava, M. M. Fouda, and M. Alsabaan, “Electricity Theft Detection Using Deep Reinforcement Learning in Smart Power Grids,” IEEE Access, vol. 11, pp. 59558–59574, 2023, doi: 10.1109/ACCESS.2023.3284681.
• M. J. Abdulaal et al., “Privacy-Preserving Detection of Power Theft in Smart Grid Change and Transmit (CAT) Advanced Metering Infrastructure,” IEEE Access, vol. 11, pp. 68569–68587, 2023, doi: 10.1109/ACCESS.2023.3291217.
• A. A. Shafee, M. M. E. A. Mahmoud, G. Srivastava, M. M. Fouda, M. Alsabaan, and M. I. Ibrahem, “Detection of Distributed Denial of Charge (DDoC) Attacks Using Deep Neural Networks With Vector Embedding,” IEEE Access, vol. 11, pp. 75381–75397, 2023, doi: 10.1109/ACCESS.2023.3296562.
• A. Shafee, M. Mahmoud, J. W. Bruce, G. Srivastava, A. Balamsh, and A. J. Aljohani, “False Data Detector for Electrical Vehicles Temporal-Spatial Charging Coordination Secure Against Evasion and Privacy Adversarial Attacks,” IEEE Trans. Dependable Secur. Comput., 2023, doi: 10.1109/TDSC.2023.3299522.
• S. Abdelfattah, M. M. Badr, M. Mahmoud, K. Abualsaud, E. Yaacoub, and M. Guizani, “Efficient and Privacy-Preserving Cloud-Based Medical Diagnosis Using an Ensemble Classifier With Inherent Access Control and Micro-Payment,” IEEE Internet Things J., 2023, doi: 10.1109/JIOT.2023.3303429.
• A. T. El-Toukhy, M. M. E. A. Mahmoud, A. H. Bondok, M. M. Fouda, and M. Alsabaan, “Countering Evasion Attacks for Smart Grid Reinforcement Learning-Based Detectors,” IEEE Access, vol. 11, pp. 97373–97390, Sep. 2023, doi: 10.1109/ACCESS.2023.3312376.
• I. Elgarhy, M. M. Badr, M. Mahmoud, M. M. Fouda, M. Alsabaan, and H. A. Kholidy, “Clustering and Ensemble Based Approach For Securing Electricity Theft Detectors Against Evasion Attacks,” IEEE Access, 2023, doi: 10.1109/ACCESS.2023.3318111.
• A. H. Bondok, M. Mahmoud, M. M. Badr, M. M. Fouda, M. Abdallah, and M. Alsabaan, “Novel Evasion Attacks against Adversarial Training Defense for Smart Grid Federated Learning,” IEEE Access, 2023, doi: 10.1109/ACCESS.2023.3323617.
• H. Habbak et al., “Efficient One-Class False Data Detector Based on Deep SVDD for Smart Grids,” Energies 2023, Vol. 16, Page 7069, vol. 16, no. 20, p. 7069, Oct. 2023, doi: 10.3390/EN16207069.
• A. A. Adeyemo, J. J. Sanderson, T. A. Odetola, F. Khalid, and S. R. Hasan, “StAIn: Stealthy Avenues of Attacks on Horizontally Collaborated Convolutiona
• T. A. Odetola, A. Adeyemo, F. Khalid, and S. R. Hasan, “FM-ModComp: Feature Map Modification and Hardware–Software Co-Comparison for secure hardware acc
• E. Oriero, F. Khalid, and H. Syed, “DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans,” Proc. 12th Int. Work. Hardw. Archit. Suppo
• M. A. Ayub, A. Siraj, B. Filar, and M. Gupta, “RWArmor: a static-informed dynamic analysis approach for early detection of cryptographic windows ransomware,” Int. J. Inf. Secur., pp. 1–24, Sep. 2023, doi: 10.1007/S10207-023-00758-Z/METRICS.
• D. Ulybyshev, M. Rogers, V. Kholodilo, and B. Northern, “End-to-End Database Software Security,” Softw. 2023, Vol. 2, Pages 163-176, vol. 2, no. 2, pp. 163–176, Mar. 2023, doi: 10.3390/SOFTWARE2020007.
• M. P. Singh, A. Anand, L. A. P. Janaswamy, S. Sundarrajan, and M. Gupta, “Trusted Federated Learning Framework for Attack Detection in Edge Industrial Internet of Things,” in IEEE Conference on Fog and Mobile Edge Computing (FMEC), 2023.
• M. A. Ayub, A. Siraj, B. Filar, and M. Gupta, “RWArmor: a static-informed dynamic analysis approach for early detection of cryptographic windows ransomware,” Int. J. Inf. Secur., pp. 1–24, 2023.
• M. Tidwell, C. Swindell, C. S. Johnson, M. Gupta, and C. W. Van Neste, “Wireless Communication of Buried IoT Sensors Utilizing Through the Soil Wireless Power Transfer for Precision Agriculture,” in 2023 IEEE Wireless Power Technology Conference and Expo (WPTCE), 2023, pp. 1–5.
• T. Mawla, M. Gupta, S. Ameer, and R. Sandhu, “The ACAC_D Model for Mutable Activity Control and Chain of Dependencies in Smart and Collaborative Systems,” arXiv Prepr. arXiv2308.01783, 2023.
• M. Gupta, C. Akiri, K. Aryal, E. Parker, and L. Praharaj, “From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy,” IEEE Access, 2023.
• E. Becker, M. Gupta, and K. Aryal, “Using Machine Learning for Detection and Classification of Cyber Attacks in Edge IoT,” in IEEE EDGE 2023, 2023.
• M. Gupta, R. Tomar, A. K. Yadav, and H. Sastry, “Future Connected Technologies: Growing Convergence and Security Implications.” CRC Press, 2023.
• T. Burks and M. Gupta, “Understanding Blockchain Based Solutions for Cloud and Cyber Physical Systems,” in Future Connected Technologies, CRC Press, 2023, pp. 35–56. 
• M. Brotherton and M. Gupta, “A Survey of Quantum Computing for Cloud Security,” in Future Connected Technologies, CRC Press, 2023, pp. 1–34. 
• L. Praharaj and M. Gupta, “A Systematic Review of Access Control in Cloud Computing,” Futur. Connect. Technol. Grow. Converg. Secur. Implic., p. 57, 2023. 
• K. Aryal, M. Gupta, and M. Abdelsalam, “Exploiting Windows PE Structure for Adversarial Malware Evasion Attacks,” in Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023, pp. 279–281.
• S. Ameer, R. Krishnan, R. Sandhu, and M. Gupta, “Utilizing The DLBAC Approach Toward a ZT Score-based Authorization for IoT Systems,” in Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, 2023, pp. 283–285.
• S. P. Otta, S. Panda, M. Gupta, and C. Hota, “A Systematic Survey of Multi-Factor Authentication for Cloud Infrastructure,” Futur. Internet, vol. 15, no. 4, p. 146, 2023.
• S. R. Islam, I. Russell, and M. Gupta, “Incorporating the Concept of Bias and Fairness in Cybersecurity Curricular Module,” in Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2, 2023, p. 1358.
• H. Manthena, J. C. Kimmel, M. Abdelsalam, and M. Gupta, “Analyzing and Explaining Black-Box Models for Online Malware Detection,” IEEE Access, vol. 11, pp. 25237–25252, 2023.
• A. Brown, M. Gupta, and M. Abdelsalam, “Automated Machine Learning for Deep Learning based Malware Detection,” arXiv Prepr. arXiv2303.01679, 2023. 
• M. Gupta, R. Sandhu, T. Mawla, and J. Benson, “Reachability analysis for attributes in ABAC with group hierarchy,” IEEE Trans. Dependable Secur. Comput., vol. 20, no. 1, pp. 841–858, 2023.
• K. Aryal, M. Gupta, and M. Abdelsalam, “Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector,” in In Proceedings of IEEE Big Data, 2023. 
• Z. Threet, C. Papadopoulos, and S. Shannigrahi, “An Argument for NDN Bridges in Hierarchical In-Vehicle Networks,” in IEEE VNC, 2023.
• M. A. Islam, M. Ismail, R. Atat, O. Boyaci, and S. Shannigrahi, “Software-Defined Network-Based Proactive Routing Strategy in Smart Power Grids Using Graph Neural Network and Reinforcement Learning,” e-Prime-Advances Electr. Eng. Electron. Energy, p. 100187, 2023.
• M. A. Islam, M. Ismail, R. Atat, O. Boyaci, and S. Shannigrahi, “Software-Defined Network-Based Proactive Routing Strategy in Smart Power Grids Using Graph Neural Network and Reinforcement Learning,” e-Prime - Adv. Electr. Eng. Electron. Energy, vol. 5, p. 100187, Sep. 2023, doi: 10.1016/J.PRIME.2023.100187.
• A. Takiddin, M. Ismail, R. Atat, K. R. Davis, and E. Serpedin, “Robust Graph Autoencoder-Based Detection of False Data Injection Attacks Against Data Poisoning in Smart Grids,” IEEE Trans. Artif. Intell., 2023, doi: 10.1109/TAI.2023.3286831.
• Z. Y. Wu, M. Ismail, and J. Wang, “Efficient Exclusion Strategy of Shadowed RIS in Dynamic Indoor Programmable Wireless Environments,” IEEE Trans. Wirel. Commun., 2023, doi: 10.1109/TWC.2023.3284897.
• R. Atat, M. Ismail, and E. Serpedin, “Joint Cascade Vulnerability Assessment of Interdependent Power–Water Infrastructures,” IEEE Syst. J., 2023, doi: 10.1109/JSYST.2023.3314099. 
• G. Nansamba, A. Altarawneh, and A. Skjellum, "A Fault-Model-Relevant Classification of Consensus Mechanisms for MPI and HPC," International Journal of Parallel Programming, vol. 51, no. 2-3, pp. 128-149, 2023. 
• M. Al Amin, A. Altarawneh, and I. Ray, "Informed Consent as Patient Driven Policy for Clinical Diagnosis and Treatment: A Smart Contract Based Approach," in Proceedings of the 20th International Conference on Security and Cryptography (SECRYPT 2023), pp. 159-170, 2023. 
• M. Al Amin, A. Altarawneh, and I. Ray, "Blockchain Smart Contracts for Policy Compliance: A Healthcare Perspective," Conference Paper, 2023. 
• A. Altarawneh and A. Skjellum, "The need for Lightweight Consensus algorithms in IoT environment," in Proceedings of the 13th International Conference on the Internet of Things (IoT '23), Article 29, 2023. 
• R. Atat, M. Ismail, and E. Serpedin, "Joint Cascade Vulnerability Assessment of Interdependent Power--Water Infrastructures," IEEE Systems Journal, vol. 17, no. 2, pp. 1025-1036, 2023. 
• S. C. Hassler, U. A. Mughal, and M. Ismail, "Cyber-Physical Intrusion Detection System for Unmanned Aerial Vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 1-12, 2023. 
• M. M. Badr, M. I. Ibrahem, H. A. Kholidy, M. M. Fouda, and M. Ismail, "Review of the Data-Driven Methods for Electricity Fraud Detection in Smart Metering Systems," Energies, vol. 16, no. 6, p. 2852, 2023. 
• M. Abouyoussef, M. Ismail, and S. S. Refaat, "Secure and Privacy-Preserving Networking Strategy for Dynamic Wireless Charging of EVs," in 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1-6, 2023. 
• S. Poudel, J. E. Baugh, A. Takiddin, M. Ismail, and S. S. Refaat, "Injection Attacks and Detection Strategy in Front-End Vehicle-to-Grid Communication," in 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1-6, 2023. 
• B. Williams, G. Ciocarlie, K. Saleeby, M. Ismail, and C. Mulkey, "Digital Twin of Cyber-Physical CNC for Smart Manufacturing," in 2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI), pp. 1-6, 2023. 
• M. Shaban and M. Ismail, "Secured Quantum Identity Authentication Protocol for Quantum Networks," arXiv preprint arXiv:2312.05774, pp. 1-8, 2023. 
• M. J. Abdulaal et al., "Privacy-Preserving Detection of Power Theft in Smart Grid Change and Transmit (CAT) Advanced Metering Infrastructure," IEEE Access, vol. 11, pp. 68569-68587, 2023. 
• S. Abdelfattah et al., "Efficient and Privacy-Preserving Cloud-Based Medical Diagnosis Using an Ensemble Classifier With Inherent Access Control and Micro-Payment," IEEE Internet of Things Journal, vol. 10, no. 20, pp. 22080-22091, 2023. 
• H. Habbak, M. Mahmoud, K. Metwally, M. M. Fouda, and M. I. Ibrahem, "Load Forecasting Techniques and Their Applications in Smart Grids," Energies, vol. 16, no. 3, p. 1480, 2023. 
• H. Habbak et al., "Efficient One-Class False Data Detector Based on Deep SVDD for Smart Grids," Energies, vol. 16, no. 20, p. 7069, 2023. 
• A. A. Adeyemo, J. J. Sanderson, T. A. Odetola, F. Khalid, and S. R. Hasan, "StAIn: Stealthy Avenues of Attacks on Horizontally Collaborated Convolutional Neural Network Inference and Their Mitigation," IEEE Access, vol. 11, pp. 10520-10534, 2023. 
• Z. Threet, M. Jones, and S. Shannigrahi, "Siivn: A Framework for Enhanced Security and Interoperability in Next-Generation In-Vehicle Networks," Available at SSRN 4756104, pp. 101-108, 2023. 
• K. Aryal, M. Gupta, and M. Abdelsalam, "Exploiting Windows PE Structure for Adversarial Malware Evasion Attacks," in Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy, pp. 279-281, 2023. 
• H. Manthena, J. C. Kimmel, M. Abdelsalam, and M. Gupta, "Analyzing and Explaining Black-Box Models for Online Malware Detection," IEEE Access, vol. 11, pp. 25237-25252, 2023. 
• M. Gupta, C. Akiri, K. Aryal, E. Parker, and L. Praharaj, "From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy," IEEE Access, vol. 11, pp. 80218-80245, 2023. 
• M. P. Singh, A. Anand, L. A. P. Janaswamy, S. Sundarrajan, and M. Gupta, "Trusted Federated Learning Framework for Attack Detection in Edge Industrial Internet of Things," in 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), pp. 64-71, 2023. 
• T. Mawla, M. Gupta, S. Ameer, and R. Sandhu, "The ACAC_D Model for Mutable Activity Control and Chain of Dependencies in Smart and Collaborative Systems," arXiv preprint arXiv:2308.01783, pp. 1-28, 2023. 
• E. Becker, M. Gupta, and F. M. Awaysheh, "Analyzing Edge IoT Digital Forensics Tools: Cyber Attacks Reconstruction and Anti-Forensics Enhancements," in 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 991-998, 2023. 
• H. Manthena, S. Shajarian, J. Kimmell, M. Abdelsalam, S. Khorsandroo, and M. Gupta, “Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges,” IEEE Access, vol. 11, pp. 46231–46268, 2023, doi: 10.1109/ACCESS.2023.3269877.

2022 Publications

• M. I. Ibrahem, M. M. E. A. Mahmoud, F. Alsolami, W. Alasmary, A. S. A. M. Al-Ghamdi, and X. Shen, “Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure,” IEEE Internet Things J., vol. 9, no. 24, pp. 25565–25580, Dec. 2022, doi: 10.1109/JIOT.2022.3197805.
• M. Nabil, A. Sherif, M. Mahmoud, W. Alsmary, and M. Alsabaan, “Accurate and Privacy-Preserving Person Localization Using Federated-Learning and the Camera Surveillance Systems of Public Places,” IEEE Access, vol. 10, pp. 109894–109907, 2022, doi: 10.1109/ACCESS.2022.3214227.
• M. I. Ibrahem, M. Mahmoud, M. M. Fouda, B. M. Elhalawany, and W. Alasmary, “Privacy-preserving and Efficient Decentralized Federated Learning-based Energy Theft Detector,” 2022 IEEE Glob. Commun. Conf. GLOBECOM 2022 - Proc., pp. 287–292, 2022, doi: 10.1109/GLOBECOM48099.2022.10000881.
• H. Habbak, M. Baza, M. M. E. A. Mahmoud, K. Metwally, A. Mattar, and G. I. Salama, “Privacy-Preserving Charging Coordination Scheme for Smart Power Grids Using a Blockchain,” Energies 2022, Vol. 15, Page 8996, vol. 15, no. 23, p. 8996, Nov. 2022, doi: 10.3390/EN15238996.
• B. Northern and D. Ulybyshev, “Building Secure Environments for Microservices,” Proc. - 2022 Int. Work. Secur. Reliab. Microservices Contain. SRMC 2022, pp. 27–31, 2022, doi: 10.1109/SRMC57347.2022.00008.
• T. Seyler and D. Ulybyshev, “SEMAFORE: Secure Mobile Field Diagnostics for Cyber-Physical Systems,” Lect. Notes Networks Syst., vol. 578, pp. 445–458, 2023, doi: 10.1007/978-981-19-7660-5_38/COVER.
• I. Dasgupta, S. Shannigrahi, and M. Zink, “A hybrid NDN-IP architecture for live video streaming: From host-based to content-based delivery to improve QoE,” Int. J. Semant. Comput., vol. 16, no. 02, pp. 163–187, 2022.
• I. D. S. M. M. Z. R. Thompson E. Lyons and S. Shannigrahi, “An Information Centric Framework for Weather Sensing Data,” in 2022 IEEE International Conference on Communications Workshops (ICC Workshops), 2022, pp. 1–6.
• Z. Threet et al., “In-Vehicle Communication Using Named Data Networking,” in AutoSec 2022 - NDSS Workshop, 2022.
• J. Presley et al., “Hydra--A Federated Data Repository over NDN,” arXiv Prepr. arXiv2211.00919, 2022.
• Z. Threet et al., “Securing automotive architectures with named data networking,” in 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2663–2668.
• M. A. Islam, M. Ismail, O. Boyaci, R. Atat, and S. Shannigrahi, “Graph Neural Network Based Prediction of Data Traffic in Cyber-Physical Smart Power Grids,” in 2022 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2022, pp. 322–327.
• D. Reddick, J. Presley, F. A. Feltus, and S. Shannigrahi, “WiP: AABAC-Automated Attribute Based Access Control for Genomics Data,” in Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies, 2022, pp. 217–222.
• Y. Wu et al., “N-DISE: NDN-based data distribution for large-scale data-intensive science,” in Proceedings of the 9th ACM Conference on Information-Centric Networking, 2022, pp. 103–113.
• S. Timilsina, J. Presley, D. Reddick, and S. Shannigrahi, “NDN-TR70--Utilizing NDN-DPDK for Kubernetes Genomics Data Lake,” arXiv Prepr. arXiv2210.10251, 2022.
• A. Takiddin, M. Ismail, and E. Serpedin, “Detection of Electricity Theft False Data Injection Attacks in Smart Grids,” in 2022 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 1541–1545.
• R. Thompson, M. Ismail, and S. Shannigrahi, “Vehicle-to-Vehicle Charging Coordination over Information Centric Networking,” in 2022 IEEE 47th Conference on Local Computer Networks (LCN), Sep. 2022, pp. 363–366. doi: 10.1109/LCN53696.2022.9843207.

2021 Publications

• Sherif Abdelfattah, Mohammad Baza, M. Mahmoud, and Waleed Alasmary, "CSES: Customized searchable encryption scheme with efficient key management over medical cloud data," Internation Symposium on Networks, Computers and Communications (ISNCC, June 2021) 
• Seham Alansari, Mahmoud Badr, M.Mahmoud, and Waleed Alasmary," Efficient and privacy preserving contact tracing system for COVID-19 using blockchain," IEEE ICC 2021 Workshop on Wireless Networking Innovations for Mobile Edge Learning
• Seham Alansari, Mahmoud Badr, M. Mahmoud, and Waleed Alasmary, "Efficient and privacy preserving contact tracing system for COVID-19 using blockchain," IEEE ICC 2021 Workshop on Wireless Networking Innovations for Mobile Edge Learning 
• Muneera Alotaibi, Mohamed Ibrahem, Waleed Alasmary, Dawood Al-Abri, and M. Mahmoud, "UBLS: User-based location selection scheme for preserving location privacy, " IEEE ICC 2021 Workshop on Wireless Networking Innovations for Mobile Edge Learning 
• Mahmoud Badr, Mohammad Baza, Sherif Abdelfattah, M. Mahmoud and Waleed Alasmary, "Blockchain-based ridesharing scheme with accurate matching and privacy preservation," International Symposium on Networks, Computers and Communications (ISNCC, June 2021) 
• M. Badr, M. Ibraheem, M.Baza, M. Mahmoud, and W. Alasmary, "Detecting electricity fraud in the net-metering system using deep learning," International Symposium on Networks, Computers and Communications (ISNCC, June 2021) 
• F.A. Bhuiyan, A. Rahman, P. Morrison, "Practitioner perception of vulnerability discovery strategies", to appear in the 2nd International Workshop on Engineering and  Cybersecurity of Critical System (EnCyCris 2021), co-located with the 43rd International Conference on Software Engineering (ICSE 2021),  June 3-4, 2021  
• F. A. Bhuiyan, M.B.Sharif, A.Rahman, "Security bug report usage for software vulnerability research: a systematic mapping study", to appear in the Journal of IEEE Access, 2021 
• D.B. Bose, A. Rahman, and S.I. Shamim," 'Under-reported' security defects in Kubernetes manifests", to appear in the 2nd International Workshop on Engineering and Cybersecurity of Critical System (EnCyCris 2021), co-located with the 43rd International Conference on Software Engineering (ICSE 2021),  June 3-4, 2021  
• Deepti Gupta, Smriti Bhatt, Paras Bhaat, Maanak Gupta and Ali Saman Tosun. "Game Theory Based privacy Preserving Approach for Collaborative Deep Learning in IOT" Accepted in Deep learning for security and privacy preservation in IoT, Springer 
• M. Ibrahem, M. Badr,  M. Mahmoud, M. Fouda, and W. Alasmary, "Counting presence privacy attack in efficient AMI Networks using interactive deep-learning," International Symposium on Networks , Computers and Communications (ISNCC, June 2021) 
• T.A. Odetola, S.R. Hasan, "SoWaF: Shuffling of Weights and Feature Maps: A Novel Hardware Intrinsic Attack (HIA) on Convolutional Neural Network (CNN)", accepted in IEEE International Symposium on Circuits and Systems, ISCAS' 2021
• A. Rahman and E. Farhana, "An empirical study of bugs in covid-19 software projects", to appear in the Journal of Software Engineering Research and Development (JSRED), 2021
• Ahmed Shafee, Mahmoud Nabil, M. Mahmoud, Waleed Alasmary, and Fathi Amsaad, "Detection of denial of charge (DoC) attacks in smart grid using convolutional neural networks," International Symposium on Networks, Computers and Communications (ISNCC, June 2021) 
• Sai Sree Laya Chukkapalli, Shaik Aziz, Nouran Alotaibi, Sudip Mittal, Maanak Gupta, and Mahmoud Abdelsalam. "Onotology driven AI and Access Control Systems for Smart Fisheries." Accepted in ACM SaTC-CPS Workshop 2021
• D. Ulybyshev, I. Yilmaz, B. Northern, V. Kholodilo, M. Rogers, Trustworthy data Analysis and sensor data protection in cyber-physical systems, to appear in the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2021),  Apr 28, 2021
• I.Yilmaz, K. Kapoor, A.Siraj, M. Abouyoussef, Privacy protection of grid users data with block chain and adversarial machine learning, to appear in the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2021), Apr 28, 2021 
• I.Yilmaz and A.Siraj, "A privacy-preserving energy consumption scheme for smart meters with adversarial machine learning, to appear in the Journal of IEEE Access, 2021.
• M.Alsabaan, W.Alasmary, A.Alquniah, M.Mahmoud, and M.Nabil,"A distributed surveillance system with full coverage guarantee using positive orthogonal codes," IEEE Access, 2021
• M.Baza, M.Pazos-Revilla, M.Nabil,  A.Sherif, M.Mahmoud, W.Alasmary, "Privacy-preserving and collusion-resistant charging coordination schemes for smart grids," IEEE Transactions on Dependable and Secure Computing, 2021
• M.Baza, R.Amer, A.Rasheed, G.Srivastava, M.Mahmoud, W.Alasmary, "A blockchain-based energy trading scheme for the electric vehicles," in 3rd International Workshop on Security Trust and Privacy for Emerging Cyber Physical Systems (STP-CPS?21), Las Vegas, USA, 2021
• A.Rahman, M.R.Rahman, C.Parnin, L.Williams, "Security smells in Ansible and Chef scripts: a replication study", ACM Transactions on Software Engineering and Methodology (TOSEM), 30(1): 1-31, 2021 
• W. A.Johnson, S.Ghafoor, S.Prowell, "Companion assisted software based remote attestation in scada networks," presented at 16th International Conference on Cyber Warfare and Security, TN, USA, Feb 25-26, 2021 
• J.Lopez, J.Asiamah, R Borges-Hink, S.Sintowski, "Resilience analysis of real-time automation controllers (rtac) under cyber stress, " presented at 16th International Conference on Cyber Warfare and Security, TN, USA, Feb 25-26, 2021 
• D.Ulybyshev, I.Yilmaz, B.Northern, V.Kholodilo, M.Rogers, "Trustworthy data Analysis and sensor data protection in cyber-physical systems," to appear in the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2021), Apr 28, 2021
• F.A.Bhuiyan, M.B.Sharif, A.Rahman, "Security bug report usage for software vulnerability research: a systematic mapping study," to appear in the Journal of IEEE Access, 2021 
• I.Yilmaz and A.Siraj, "A privacy-preserving energy consumption scheme for smart meters with adversarial machine learning", to appear in the Journal of IEEE Access, 2021 
• A. Rahman and E. Farhana, "An empirical study of bugs in covid-19 software projects", to appear in the Journal of Software Engineering Research and Development (JSERD), 2021 
• F.A.Bhuiyan, A.Rahman, P. Morrison, "Practitioner perception of vulnerability discover strategies", to appear in the 2nd International Workshop on Engineering and Cybersecurity of Critical Systems (EnCyCriS 2021), co-located with the 43rd International Conference on Software Engineering (ICSE 2021),  June 3-4, 2021
• D.B. Bose, A.Rahman, and S.I. Shamim, "Under-reported' security defects in kubernetes manifests", to appear in the 2nd International Workshop on Engineering and CyberSecurity of Critical Systems (EnCyCriS 2021), co-located with the 43rd International Conference on Software Engineering (ICSE 2021), June 3-4, 2021

 

2020 Publications

• H. Mohammed*, S. R. Hassan, F. Awwad, " FusIon: On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple types of Hardware Trojan Attacks" IEEE Access, 2020 (in press) - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9003413
• F. Khalid*, S. R. Hasan, O. Hasan, M. Shafique "SIMCom: Statistical Sniffing of Inter-Module Communications for Runtime Hardware Trojan Detection" accepted for publication in Elsevier's Microelectronics Journal, 2020 - https://doi.org/10.1016/j.micpro.2020.103122
• Khalid*, S. R. Hasan, S. Zia*, O. Hasan, F. Awwad, M. Shafique, "MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource Constrained IoT Edge Devices", IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems, 2020 (Early access: 10.1109/TCAD.2020.3012236)
• Ibrahim Yilmaz, Rahat Masum and Ambareen Siraj: “Addressing Imbalanced Data Problem with Generative Adversarial Network For Intrusion Detection”, Proceedings: IEEE International Conference on Information Reuse and Integration (IRI’2020), August 11-13, 2020.
• Md Ahsan Ayub, Andrea Continella and Ambareen Siraj: “An I/O Request Packet (IRP) Driven Effective Ransomware Detection Scheme using Artificial Neural Network”, Proceedings: IEEE International Conference on Information Reuse and Integration (IRI’2020), August 11-13, 2020.
• Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, and Mike Rogers, Proceedings: “Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response”, AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice, Mar 23 - 25, 2020 at Palo Alto, CA.
• Susan Jeziorowski, Muhammad Ismail and Ambareen Siraj: “Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces”, Proceedings: 6th ACM International Workshop on Security and Privacy Analytics IWSPA 2020, New Orleans, LA, March 18, 2020.
• Md Ahsan Ayub, William A. Johnson, Douglas A. Talbert, and Ambareen Siraj: “Model Evasion Attack on Intrusion Detection Systems using Adversarial Machine Learning”, Proceedings: 54th Annual Conference on Information Sciences and Systems (CISS: Princeton IEEE Information Theory Society), Princeton, NJ, March 18-20, 2020.
• Awad, Rima Asmar, Juan Lopez Jr, and Mike Rogers. "Volatile Memory Extraction-Based Approach for Level 0-1 CPS Forensics."
• N. Martindale, M. Ismail, and D. A. Talbert, “Ensemble-Based Online Machine Learning Algorithms for Network Intrusion Detection Systems Using Streaming Data,” MDPI-Information, vol. 11, no. 6, June 2020.
• S. Jeziorowski, M. Ismail, and A. Siraj, “Towards Image-Based Dark Vendor Profiling: An Analysis of Image Metadata and Image Hashing in Dark Web Marketplaces,” The Sixth International Workshop on Security and Privacy Analytics, March 2020.
• A. Takiddin, M. Ismail, U. Zafar, and E. Serpedin, “Variational Auto-encoder-based Detection of Electricity Stealth Cyber-attacks in AMI Networks,'' European Signal Processing Conference (EUSIPCO), accepted in May 2020, to appear.
• Gupta, Deepti, Olumide Kayode, Smriti Bhatt, Maanak Gupta, and Ali Saman Tosun. "Learner's Dilemma: IoT Devices Training Strategies in Collaborative Deep Learning." arXiv preprint arXiv:2007.15215 (2020). (Accepted in IEEE WFIOT 2020)
• Gupta, Deepti, Smriti Bhatt, Maanak Gupta, Olumide Kayode, and Ali Saman Tosun. "Access control model for google cloud iot." In 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), pp. 198-208. IEEE, 2020.
• Maanak Gupta, Mahmoud Abdelsalam, and Sudip Mittal. "Enabling and enforcing social distancing measures using smart city and its infrastructures: a COVID-19 Use case." arXiv preprint arXiv:2004.09246 (2020).
• Chukkapalli, Sai Sree Laya, Aritran Piplai, Sudip Mittal, Maanak Gupta, and Anupam Joshi. "A Smart-Farming Ontology for Attribute Based Access Control." In 6th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2020). 2020.
• Maanak Gupta, Mahmoud Abdelsalam, Sajad Khorsandroo, and Sudip Mittal. "Security and privacy in smart farming: Challenges and opportunities." IEEE Access 8 (2020): 34564-34584.
• McDole, Andrew, Mahmoud Abdelsalam, Maanak Gupta, and Sudip Mittal. "Analyzing CNN Based Behavioral Malware Detection Techniques on Cloud IaaS." arXiv preprint arXiv:2002.06383 (2020). (Accepted in CLOUD 2020)
• Maanak Gupta, James Benson, Farhan Patwa, and Ravi Sandhu. "Secure V2V and V2I communication in intelligent transportation using cloudlets." arXiv preprint arXiv:2001.04041 (2020).
• Awaysheh, Feras M., Mamoun Alazab, Maanak Gupta, Tomás F. Pena, and José C. Cabaleiro. "Next-generation big data federation access control: A reference model." Future Generation Computer Systems (2020).
• Mithu, M. Rayhan Ahmed, Vadim Kholodilo, Rajesh Manicavasagam, Denis Ulybyshev, and Mike Rogers. "Secure Industrial Control System with Intrusion Detection." In The Thirty-Third International Flairs Conference. 2020. https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/viewPaper/18397- published in May, 2020
• Farzana Ahamed Bhuiyan and Akond Rahman, "Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts", to appear in the 2020 Workshop on Human Centric Software Engineering and Cyber Security, co-located the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE).
• Farzana Ahamed Bhuiyan, Akond Rahman and Patrick Morrison, "Vulnerability Discovery Strategies Used in Software Projects", to appear in the 2020 Workshop on Human Centric Software Engineering and Cyber Security, co-located the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE).
• Raunak Shakya and Akond Rahman, "A Preliminary Taxonomy of Techniques Used in Software Fuzzing", to appear in the 7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium 2020.
• Justin Murphy, Elias Brady, Shazibul Islam Shamim, and Akond Rahman, "A Curated Dataset of Security Defects in Scientific Software Projects", to appear in the 7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium 2020.
• Farzana Ahamed Bhuiyan, Raunak Shakya, and Akond Rahman, "Can We Use Software Bug Reports to Identify Software Vulnerability Strategies?", to appear in the 7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium 2020.
• Md. Shazibul Islam Shamim, Farzana Ahamed Bhuiyan, and Akond Rahman, "XI Commandments of Kubernetes Security: A Systematization of Knowledge Related to Kubernetes Security Practices", in the IEEE Secure Development Conference (SecDev) 2020.
• Akond Rahman, Md. Rayhanur Rahman, Chirs Parnin, and Laurie Williams, "Security Smells in Ansible and Chef Scripts: A Replication Study", in the journal of ACM Transactions on Software Engineering and Methodology (TOSEM).
• Maanak Gupta, Feras M. Awaysheh, James Benson, Mamoun Alazab, Farhan Patwa and Ravi Sandhu, “An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles”, Accepted in IEEE Transactions on Industrial Informatics, 2020.
• Sai Sree Laya Chukkapalli, Sudip Mittal, Maanak Gupta, Mahmoud Abdelsalam, Anupam Joshi, Ravi Sandhu and Karuna Joshi “Ontologies and Artificial Intelligence Systems for the Cooperative Smart Farming Ecosystem”, IEEE Access 8 (2020): 164045-164064.
• Maanak Gupta, Mahmoud Abdelsalam, Sajad Khorsandroo and Sudip Mittal, “Security and Privacy in Smart Farming: Challenges and Opportunities.” IEEE Access 8 (2020): 34564-34584.
• Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomas F. Pena and Jose Cabaleiro. “Next Generation Big Data Federation Access Control: A Reference Model”. Future Generation Computer Science, 2020.
• Sina Sontowski, Maanak Gupta, Sai Sree Laya Chukkapalli, Mahmoud Abdelsalam, Sudip Mittal, Anupam Joshi, and Ravi Sandhu. "Cyber Attacks on Smart Farming Infrastructure." In Proceedings of the IEEE International Conference on Collaboration and Internet Computing (CIC) 2020.
• Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, and Tim Finin. "Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior." In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI) 2020.
• Ulybyshev, Denis, Christian Bare, Kristen Bellisario, Vadim Kholodilo, Bradley Northern, Abhijeet Solanki, Timothy O’Donnell. ”Protecting Electronic Health Records in Transit and at Rest.” IEEE 33-rd Intl. Symposium on Computer-Based Medical Systems (CBMS), pp. 449-452, IEEE, 2020.
• Mithu, M Rayhan Ahmed, Vadim Kholodilo, Rajesh Manicavasagam, Denis Ulybyshev and Michael Rogers, “Secure Industrial Control System with Intrusion Detection”. 33-rd Intl. FLAIRS conf., AAAI, 2020.
• Yilmaz, Ibrahim, Ambareen Siraj and Denis Ulybyshev, “Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning.” To appear in the 4-th Conf. on Information and Communication Technology, IEEE, 2020.
• W. Al Amiri, M. Baza, M. Mahmoud, W. Alasmary, K. Akkaya, “Towards secure smart parking system using blockchain technology,” Proc. of IEEE Consumer Communications Networking Conference (IEEE CCNC’20), Las Vegas, NV.
• M. Baza, J. Baxter, N. Lasla, M. Mahmoud, M. Abdallah, and M. Younis, “Incentivized and secure blockchain-based firmware update and dissemination for autonomous vehicles,” in Connected and Autonomous Vehicles in Smart Cities. CRC press, 2020.
• R. Paudel and W. Eberle, “SNAPSKETCH: Graph Representation Approach for Intrusion Detection in a Streaming Graph,” Conference on Knowledge Discovery and Data Mining (KDD) Mining and Learning with Graphs (MLG), August 2020.
• S. R. Islam, W. Eberle, and S. Ghafoor, “Towards Quantification of Explainability in Explainable Artificial Intelligence Methods,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2020.
• P. Kandel and W. Eberle, “Node Similarity For Anomaly Detection in Attributed Graphs,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2020.
• S. R. Islam, W. Eberle, S. Ghafoor, A. Siraj, and M. Rogers, “Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response,” Proceedings of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE), March 2020.
• Piplai, Aritran, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, and Tim Finin. "Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior." accepted at IEEE International Conference on Intelligence and Security Informatics (ISI) , 2020.
• Andrew McDole, Maanak Gupta, Mahmoud Abdelsalam, Sudip Mittal, and Mamoun Alazab,” Deep Learning Techniques for Behavioural Malware Analysis in Cloud IaaS”, To appear in Malware Analysis using Artificial Intelligence and Deep Learning, Published by Springer, 2020.
• Andrew McDole, Maanak Gupta, and Mahmoud Abdelsalam, “Comparing Deep Learning Based Malware Detection Techniques in Cloud IaaS”, Research and Creative Inquire Day (2020), Tennessee Tech University.
• Austin Brown, Kendall Land, Andy Brown, and Maanak Gupta, “Detecting Illegitimate Use of Legitimate Credentials”, Research and Creative Inquire Day (2020), Tennessee Tech University.
• Mohammad Mehedi Hasan, Farzana Ahamed Bhuiyan, and Akond Rahman, "Testing Practices for Infrastructure as Code", to appear in the Languages and Tools for Next Generation Testing Workshop - LANGETI 2020, co-located with the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE). Pre-print
• Farzana Ahamed Bhuiyan and Akond Rahman, "Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts", to appear in the 2020 Workshop on Human Centric Software Engineering and Cyber Security, co-located with the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE). Pre-print
• Akond Rahman and Farzana Ahamed Bhuiyan, "A Vision to Mitigate Bioinformatics Software Development Challenges", to appear in the 2020 Workshop on Human Centric Software Engineering and Cyber Security, co-located with the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE). Pre-print
• Akond Rahman, Effat Farhana, and Laurie Williams, "The 'as Code' Activities: Development Anti-patterns for Infrastructure as Code", in the Journal of Empirical Software Engineering (EMSE) 2020. (Journal-first at FSE 2020) Pre-print
• Akond Rahman, Effat Farhana, Chirs Parnin, and Laurie Williams, "Gang of Eight: A Defect Taxonomy for Infrastructure as Code Scripts", to appear in the International Conference on Software Engineering (ICSE) 2020. Pre-print
• Yilmaz, Ibrahim, Ambareen Siraj and Denis Ulybyshev, “Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning.” To appear in the 4-th Conf. on Information and Communication Technology, IEEE, 2020.
• Maanak Gupta, Feras M. Awaysheh, James Benson, Mamoun Alazab, Farhan Patwa and Ravi Sandhu, “An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles”, Accepted in IEEE Transactions on Industrial Informatics, 2020.
• Aritran Piplai, Sudip Mittal, Mahmoud Abdelsalam, Maanak Gupta, Anupam Joshi, and Tim Finin. "Knowledge Enrichment by Fusing Representations for Malware Threat Intelligence and Behavior." In Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI) 2020. 

 

2019 Publications

• M. Hailesellasie*, J. Nelson*, F. Khalid*, S. R. Hasan, "VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity", in 62nd IEEE International MidWest Symposium on Circuits and Systems, 2019.
• H Mohammed*, T. A. Odetola*, S. R. Hasan, S. Stissi*, I. Garlinx*, F. Awwad, "(HIADIoT): Hardware Intrinsic Attack Detection in Internet of Things; Leveraging Power Profiling", in 62nd IEEE International MidWest Symposium on Circuits and Systems, 2019.
• Enahoro Oriero*, S. R. Hasan, "Survey on Recent Counterfeit IC Detection Techniques and Future Research Directions", Integration, The VLSI Journal, 2019 https://www.sciencedirect.com/science/article/pii/S0167926018301664 
• Alsharif, Ahmad, Mahmoud Nabil, Mohamed Mahmoud, and Mohamed Abdallah. "EPDA: Efficient and Privacy-Preserving Data Collection and Access Control Scheme for Multi-Recipient AMI Networks." IEEE Access (2019).
• Shafee, Ahmed, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, and Mohamed Mahmoud. "Mimic learning to generate a shareable network intrusion detection model." arXiv preprint arXiv:1905.00919 (2019).
• Baza, Mohamed, Mahmoud Nabil, Niclas Bewermeier, Kemal Fidan, Mohamed Mahmoud, and Mohamed Abdallah. "Detecting sybil attacks using proofs of work and location in vanets." arXiv preprint arXiv:1904.05845 (2019).
• Amiri, Wesam Al, Mohamed Baza, Karim Banawan, Mohamed Mahmoud, Waleed Alasmary, and Kemal Akkaya. "Privacy-preserving smart parking system using blockchain and private information retrieval." arXiv preprint arXiv:1904.09703 (2019).
• M. Nabil, M. Ismail, M. M. E. A. Mahmoud, W. Alasmary and E. Serpedin, "PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks," in IEEE Access, vol. 7, pp. 96334-96348, 2019.
• Pazos-Revilla, Marbin, Ahmad Alsharif, Surya Gunukula, Terry N. Guo, Mohamed Mahmoud, and Xuemin Sherman Shen. "Privacy-Preserving Physical-Layer-Assisted Charging Authorization Scheme for EV Dynamic Charging System."
• E. M. Radi, N. Lasla, S. Bakiras and M. Mahmoud, "Privacy-Preserving Electric Vehicle Charging for Peer-to-Peer Energy Trading Ecosystems," ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Shanghai, China, 2019, pp. 1-6.
• Alsharif, M. Nabil, S. Tonyali, H. Mohammed, M. Mahmoud and K. Akkaya, "EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks," in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 3309-3321, April 2019.
• Ford, Vitaly, and Ambareen Siraj. "GenCyberCoin: an engaging, customizable, and gamified web platform for cybersecurity summer camps and classrooms." Journal of Computing Sciences in Colleges 35, no. 3 (2019): 87-96.
• Paudel, Ramesh, Peter Harlan, and William Eberle. "Detecting the onset of a network layer dos attack with a graph-based approach." In The Thirty-Second International Flairs Conference. 2019.
• Ramesh Paudel, Prajwal Kandel, and William Eberle, “Detecting Spam Tweets in Trending Topics using Graph-Based Approach,” Proceedings of the Future Technologies Conference (FTC), October 2019.
• Sheikh Rabiul Islam, William Eberle, Sid C. Bundy, and Sheikh Ghafoor, “Infusing Domain Knowledge in AI-based “black box” Models for Better Explainability with Application in Bankruptcy Prediction,” Workshop on Anomaly Detection in Finance, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August 2019.
• Bhuiyan, M. B. Sharif, P. J. Tinker, W. Eberle, D. A. Talbert, S. K. Ghafoor, and L. Frey, “Gene Selection and Clustering of Breast Cancer Data,” International Conference of the Florida AI Research Society (FLAIRS), May 2019.
• Sirisha Velampalli, Lenin Mookiah, and William Eberle, “Discovering Suspicious Patterns Using a Graph Based Approach,” International Conference of the Florida AI Research Society (FLAIRS), May 2019.
• Ramesh Paudel, Peter Harlan, and William Eberle, “Detecting the Onset of a Network Layer DoS Attack with a Graph-Based Approach,” International Conference of the Florida AI Research Society (FLAIRS), May 2019.
• M. A. Ayub, Z. A. Onik, and S. Smith, “Parallelized RSA Algorithm: An Analysis with Performance Evaluation using OpenMP Library in High Performance Computing Environment,” 2019 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2019, pp. 1-6.
• M. A. Ayub, S. Smith, and A. Siraj, “A Protocol Independent Approach in Network Covert Channel Detection,” 2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), New York, NY, USA, 2019, pp. 165-170.
• Enahoro Oriero*, S. R. Hasan, "Survey on Recent Counterfeit IC Detection Techniques and Future Research Directions", Integration, The VLSI Journal, 2019 https://www.sciencedirect.com/science/article/pii/S0167926018301664
• H Mohammed*, T. A. Odetola*, S. R. Hasan, S. Stissi*, I. Garlinx*, F. Awwad, "(HIADIoT): Hardware Intrinsic Attack Detection in Internet of Things; Leveraging Power Profiling", in 62nd IEEE International MidWest Symposium on Circuits and Systems, 2019.
• M. Hailesellasie*, J. Nelson*, F. Khalid*, S. R. Hasan, "VAWS: Vulnerability Analysis of Neural Networks using Weight Sensitivity", in 62nd IEEE International MidWest Symposium on Circuits and Systems, 2019.
• M. Nabil, M. Ismail, M. Mahmoud, W. Alasmary, and E. Serpedin, “PPETD: Privacy-preserving electricity theft detection scheme with load monitoring and billing for AMI networks,” IEEE Access, Special issue on Security, Privacy, and Trust Management in Smart Cities, vol. 7, no. 1, pp. 96 334–96 348, Dec. 2019.
• Shafee, M. Baza, D. Talbert, M. Fouda, M. Nabil, and M. Mahmoud, “Mimic learning to generate a shareable network intrusion detection model,” Proc. IEEE Consumer Communications Networking Conference (IEEE CCNC’19), Las Vegas, USA, January 2019.
• M. Mahmoud, K. Rabieh, A. Sherif, E. Oriero, M. Ismail, E. Serpedin, and K. Qaraqe, “Privacy-preserving fine-grained data retrieval scheme for mobile social networks (MSNs),” IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 16, no. 5, pp. 871–884, Sept./Oct. 2019.
• M. Nabil, M. Ismail, M. Mahmoud, and E. Serpedin, “Deep recurrent electricity theft detection in AMI networks with evolutionary hyper-parameter tuning,” Proc. of IEEE International Conference on Internet of Things (iThings’19), Atlanta, USA, July 2019
• M. Baza, M. Nabil, M. Ismail, and M. Mahmoud, E. Serpedin, and M. Rahman, “Blockchainbased privacy-preserving charging coordination mechanism for energy storage units,” Proc. of Recent Advances on Blockchain and Its Applications Symposium of the 2nd IEEE International Conference on Blockchain (Blockchain-2019), Atlanta, USA, July 2019.
• W. Al Amiri, M. Baza, K. Banawan, M. Mahmoud, W. Alasmary, K. Akkaya, “Privacy-preserving smart parking system using blockchain and private information retrieval,” Proc. of the 2019 International Conference on Smart Applications, Communications and Networking (IEEE SmartNets), July 2019.
• M. Mahmoud, and M. Song, “MDMS: Efficient and privacy-preserving multi-dimension and multi-subset data collection for AMI networks,” IEEE Internet of Things Journal (IoT), Aug. 2019, accepted, In press.
• M. Baza, N. Lasla, M. Mahmoud, and M. Abdallah, “B-Ride: Ride sharing with privacy preservation, trust and fair payment atop public blockchain,” IEEE Transactions on Network Science and Engineering, 2019.
• M. Baza, M. Nabil, N. Lasla, K. Fidan, M. Mahmoud, M. Abdallah, “Blockchain-based firmware update scheme tailored for autonomous vehicles,” Proc. of IEEE WCNC’19, Marrakech, Morocco, April 2019.
• M. Nabil, M. Mahmoud, A. Sherif, A. Alsharif, and M. Abdulla, “Efficient privacy-preserving ride sharing organization for transferable and non-transferable services,” IEEE Transactions on Dependable and Secure Computing (TDSC), May 2019.
• M. Baza, M. Nabil, N. Bewermeier, K. Fidan, M. Mahmoud, and M. Abdallah, “Detecting sybil attacks using proofs of work and location in VANETs,” IEEE Transactions on Dependable and Secure Computing (TDSC), 2019.
• Nuthan Munaiah, Akond Rahman, Justin Pelletier, Laurie Williams, and Andrew Meneely "Characterizing Attacker Behavior in a Cybersecurity Penetration Testing Competition" in Proceedings of the International Symposium on Empirical Software Engineering and Measurement (ESEM) 2019, Porto de Galinhas, Brazil, Sep 2019.
• Md. Rayhanur Rahman, Akond Rahman, and Laurie Williams "Share, But Be Aware: Security Smells in Python Gists" in Proceedings of the International Conference on Software Maintenance and Evolution (ICSME) 2019, Ohio, USA, Oct 2019.
• Terry Guo, Animesh Dahal and Ambareen Siraj, “Precise Feature Selection and Case Study of Intrusion Detection in an Industrial Control System Environment”, 15th International Conference on Machine Learning and Data Mining held July 13 - 18, New York, NY, 2019.
• Islam, Sheikh Rabiul, William Eberle, Sheikh K. Ghafoor, Ambareen Siraj, and Mike Rogers. "Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response." arXiv preprint arXiv:1911.09853 (2019).
• Ayub, Md Ahsan, Zishan Ahmed Onik, and S. "Parallelized RSA Algorithm: An Analysis with Performance Evaluation using OpenMP Library in High Performance Computing Environment." (2019).
• Chen, Qian, Sheikh Rabiul Islam, Henry Haswell, and Robert A. Bridges. "Automated Ransomware Behavior Analysis: Pattern Extraction and Early Detection." In International Conference on Science of Cyber Security, pp. 199-214. Springer, Cham, 2019.
• M. Nabil, M. Mahmoud, M. Ismail and E. Serpedin, "Deep Recurrent Electricity Theft Detection in AMI Networks with Evolutionary Hyper-Parameter Tuning," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1002-1008.
• Pazos-Revilla, Marbin, Mohamed Baza, Mahmoud Nabil, Ahmed Sherif, Mohamed Mahmoud, and Waleed Alasmary. "Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grid." arXiv preprint arXiv:1905.04666 (2019).
• Nabil, Mahmoud, Muhammad Ismail, Mohamed Mahmoud, Mostafa Shahin, Khalid Qaraqe, and Erchin Serpedin. "Deep Learning-Based Detection of Electricity Theft Cyber-Attacks in Smart Grid AMI Networks." In Deep Learning Applications for Cyber Security, pp. 73-102. Springer, Cham, 2019.
• Yilmaz, Ibrahim, and Rahat Masum. "Expansion of cyber attack data from unbalanced datasets using generative techniques." arXiv preprint arXiv:1912.04549 (2019).
• A. Alsharif, A. Shafee, M. Nabil, M. Mahmoud and W. Alasmary, "A Multi-Authority AttributeBased Signcryption Scheme with Efficient Revocation for Smart Grid Downlink Communication," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE.
• Baza, Mohamed, Andrew Salazar, Mohamed Mahmoud, Mohamed Abdallah, and Kemal Akkaya. "On sharing models instead of data using mimic learning for smart health applications." arXiv preprint arXiv:1912.11210 (2019).
• M. Nabil, A. Sherif, M. Mahmoud, A. Alsharif and M. Abdallah, "Efficient and Privacy-Preserving Ridesharing Organization for Transferable and Non-Transferable Services," in IEEE Transactions on Dependable and Secure Computing.
• Islam, Sheikh Rabiul, William Eberle, Sheikh K. Ghafoor, Sid C. Bundy, Douglas A. Talbert, and Ambareen Siraj. "Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy." arXiv preprint arXiv:1911.09858 (2019).
• R. Paudel, T. Muncy and W. Eberle, "Detecting DoS Attack in Smart Home IoT Devices Using a Graph-Based Approach," 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 5249-5258.
• Ramesh Paudel, Prajwal Kandel, and William Eberle, “Detecting Spam Tweets in Trending Topics using Graph-Based Approach,” Proceedings of the Future Technologies Conference (FTC), October 2019.
• Sheikh Rabiul Islam, William Eberle, Sid C. Bundy, and Sheikh Ghafoor, “Infusing Domain Knowledge in AI-based “black box” Models for Better Explainability with Application in Bankruptcy Prediction,” Workshop on Anomaly Detection in Finance, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August 2019.
• Maanak Gupta, James Benson, Farhan Patwa and Ravi Sandhu, Dynamic Groups and Attribute Based Access Control for Next-Generation Smart Cars. In Proceedings of the 9th ACM Conference on Data and Application Security and Privacy (CODASPY), Dallas, Texas, March 25-27, 2019, pages 12.
• Maanak Gupta, James Benson, Farhan Patwa and Ravi Sandhu, Secure Cloud Assisted Smart Cars Using Dynamic Groups and Attribute Based Access Control." arXiv preprint arXiv:1908.08112 (2019). https://arxiv.org/abs/1908.08112 
• Effat Farhana, Nasif Imtiaz, and Akond Rahman "Synthesizing Program Execution Time Discrepancies in Julia Used for Scientific Software" in Proceedings of the International Conference on Software Maintenance and Evolution (ICSME) 2019, Ohio, USA, Oct 2019 Pre-print
• Akond Rahman and Laurie Williams, "Source Code Properties of Defective Infrastructure as Code Scripts", in the Journal of Information and Software Technology (IST), (Journal-first at ICSME 2019) Pre-print
• Akond Rahman, "Anti-patterns in Infrastructure as Code", PhD Dissertation, NC State University 2019. (NC State CSC and COE Distinguished Dissertation Award) Pre-print
• Kanthi Sarpatwar, Venkata Sitaramagiridharganesh Ganapavarapu, Karthikeyan Shanmugam, Akond Rahman, and Roman Vaculin, "Blockchain Enabled AI Marketplace: The Price You Pay For Trust" in Proceedings of the International Workshop of Blockchain Meets Computer Vision and Artificial Intelligence 2019, CA, USA 2019. Preprint
• Akond Rahman, Effat Farhana, and Nasif Imtiaz, "Snakes in Paradise?: Insecure Python-related Coding Practices in Stack Overflow" in Proceedings of the International Conference on Mining Software Repositories (MSR) 2019, Montreal, Canada, May 2019. Preprint
• Nasif Imtiaz, Akond Rahman, Effat Farhana, and Laurie Williams, "Challenges with Responding to Static Analysis Tool Alerts" in Proceedings of the International Conference on Mining Software Repositories (MSR) 2019, Montreal, Canada, May 2019. Preprint
• Akond Rahman and Laurie Williams, "Poster: A Bird's Eye View of Knowledge Needs Related to Penetration Testing" in Proceedings of the Symposium and Bootcamp on the Science of Security (HotSoS) 2019, Nashville, Tennessee, April 2019 Preprint
• Akond Rahman, Chirs Parnin, and Laurie Williams, "The Seven Sins: Security Smells in Infrastructure as Code Scripts", in the International Conference on Software Engineering (ICSE) 2019. (ACM SIGSOFT Distinguished Paper Award) Pre-print
• R Atat, M Ismail, Multi‐RAT D2D Communication Paradigms: Potential Benefits and Challenging Issues, Wiley 5G Ref: The Essential 5G Reference Online, 1-19
• R Atat, M Ismail, E Serpedin, Stochastic Geometry-based Model for Spatio-temporal Expanding Smart Grids, 2019 IEEE Innovative Smart Grid Technologies-Asia (ISGT Asia), 457-462
• M Nabil, M Mahmoud, M Ismail, E Serpedin, Deep Recurrent Electricity Theft Detection in AMI Networks with Evolutionary Hyper-Parameter Tuning, 2019 International Conference on Internet of Things (iThings) and IEEE Green
• R Atat, M Ismail, MF Shaaban, E Serpedin, T Overbye, Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids, IEEE Transactions on Smart Grid 11 (3), 2080-2091
• IS Bayram, M Ismail, A Stochastic Model for Fast Charging Stations with Energy Storage Systems, 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1-5
• HB Kong, M Ismail, E Serpedin, KA Qaraqe, Energy Efficient Optimization of Base Station Density for VLC Networks, ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6
• M Ismail, IS Bayram, K Qaraqe, E Serpedin, IMA Imran, YA Sambo, ..., 5G-Enhanced Smart Grid Services, Enabling 5G Communication Systems to Support Vertical Industries, 28-102
• M Nabil, M Ismail, M Mahmoud, M Shahin, K Qaraqe, E Serpedin, Deep Learning-Based Detection of Electricity Theft Cyber-Attacks in Smart Grid AMI Networks, Deep Learning Applications for Cyber Security, 73-102
• M Nabil, M Ismail, MMEA Mahmoud, W Alasmary, E Serpedin, PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks, IEEE Access 7, 96334-96348
• MF Shaaban, S Mohamed, M Ismail, KA Qaraqe, E Serpedin, Joint planning of smart EV charging stations and DGs in Eco-friendly remote hybrid microgrids, IEEE Transactions on Smart Grid 10 (5), 5819-5830
• M Baza, M Nabil, M Ismail, M Mahmoud, E Serpedin, MA Rahman, Blockchain-based charging coordination mechanism for smart grid energy storage units, 2019 IEEE International Conference on Blockchain (Blockchain), 504-509
• J Kong, ZY Wu, M Ismail, E Serpedin, KA Qaraqe, Q-Learning Based Two-Timescale Power Allocation for Multi-Homing Hybrid RF/VLC Networks, IEEE Wireless Communications Letters 9 (4), 443-447

 

2018 Publications

• J. Shelley*, H. Mohammed*, L. Zink*, S. R. Hasan, O. Elkeelany, "Covert Communication Channel Detection in Low-Power Battery Operated IoT Devices: Leveraging Power Profiles", in IEEE South East Conference, 2018
• E. Oriero*, S. R. Hasan, "All Digital Low Power Aging Sensor for Counterfeit Detection in Integrated Circuits", in IEEE International MidWest Symposium on Circuits and Systems, 2018
• H. Mohammed*, J. Howell*, S. R. Hasan, N. Guo, O. Elkeelany, " Hardware Trojan Based Security Issues in Home Area Network: A Testbed Setup" , in IEEE International MidWest Symposium on Circuits and Systems, 2018
• S. R. Hasan, Charles Kamhoua, Kevin Kwiat and Laurent Njilla, "A Novel Framework to Introduce Hardware Trojan Monitors Using Model Checking Based Counterexamples: Inspired by Game Theory" in IEEE International MidWest Symposium on Circuits and Systems, 2018
• M. T. Hailesellasie*, S. R. Hasan, "Intrusion Detection in PLC Based Industrial Controls Systems Using Formal Model of the System in Conjunction with Graphs", Journal of Hardware and Systems Security, Vol. 2, Issue 1, pp. 1-14, March, 2018 https://link.springer.com/article/10.1007/s41635-017-0017-y)
• F. Khalid*, S. R. Hasan, O. Hasan, F. Awwad, "Runtime Hardware Trojan Monitors Though Modeling Burst Mode Communication using Formal Verification", Integration, The VLSI Journal, Vol. 61, pp. 62-76, March 2018, https://doi.org/10.1016/j.vlsi.2017.11.003 
• Lenin Mookiah, William Eberle, and M. Mondal, “Personalized News Recommendation using Graph-Based Approach”, Intelligent Data Analysis, an International Journal, Volume 22 (2018) 881–909.
• Ramesh Paudel, William Eberle, and Lawrence Holder, “Anomaly Detection of Elderly Patient Activities in Smart Homes using a Graph-Based Approach,” International Conference on Data Science (ICDATA), July 2018.
• Sheikh Rabiul Islam, William Eberle, and Sheikh Ghafoor, “Credit Default Mining Using Combined Machine Learning and Heuristic Approach,” International Conference on Data Science (ICDATA), July 2018.
• Rina Singh, Jeffrey Graves, Douglas Talbert, and William Eberle, “Prefix and Suffix Sequential Pattern Mining”, Conference on Machine Learning and Data Mining (MLDM), July, 2018.
• Ramesh Paudel, Kimberlyn Dunn, William Eberle, and Danielle Chaung, “Cognitive Health Prediction on the Elderly Using Sensor Data in Smart Homes,” International Conference of the Florida AI Research Society (FLAIRS), May 2018.
• Enahoro Oriero and Mohammad Ashiqur Rahman, Privacy Preserving Fine-Grained Data Distribution Aggregation for Smart Grid AMI Networks, the 37th International Conference for Military Communications (MILCOM), Los Angeles, USA, October 2018.
• Anshu Bhattarai, Ambareen Siraj, “Increasing Accuracy of Hand-Motion Based Continuous Authentication Systems”, Proceedings: to 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  to be held in New York, NY, November 8-10, 2018.
• Vitaly Ford, Daniel Taylor, Ambareen Siraj, “AMIsim: Application-layer Advanced Metering Infrastructure Simulation Framework for Secure Communication Protocol Performance Evaluation”, Proceedings: 11th USENIX Workshop on Cyber Security Experimentation and Test (CSET ‘18)  held in Baltimore, MD, August, 2018.
• A H M Jakaria and Mohammad Ashiqur Rahman, Formal Analysis of k-Resiliency for Collaborative UAVs, The 42nd IEEE Computer Society International Conference on Computers, Software, and Applications (COMPSAC), Tokyo, Japan, July 2018.
• MGM Mehedi Hasan, Amarjit Datta, Mohammad A. Rahman, and Hossain Shahriar, Chained of Things: A Secure and Dependable Design of Autonomous Vehicle Services, 13th IEEE International Workshop on Security, Trust, and Privacy for Software Applications (STPSA) in conjunction with the 42th IEEE COMPSAC, Tokyo, Japan, July 2018.
• Madhukrishna Priyadarsini, Padmalochan Bera, and Mohammad A. Rahman, A New Approach for Energy Efficiency in Software Defined Network, Fifth International Conference on Software Defined Systems (SDS), Barcelona, Spain, Apr 2018.
• Bahman Rashidi, Carol Fung, and Mohammad A. Rahman, A Scalable and Flexible DDoS Mitigation System Using Network Function Virtualization, IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies in association with IEEE/IFIP NOMS, Taipei, Taiwan, Apr 2018.
• Mohammad Ashiqur Rahman and Amarjit Datta, Impact of Stealthy Attacks on Optimal Power Flow: A Simulink-Driven Formal Analysis, IEEE Transactions on Dependable and Secure Computing (TDSC), February 2018 (Online).
• Islam, S., Eberle, W., & Ghafoor, S. (2018). Credit Default Mining Using Combined Machine Learning and Heuristic Approach.
• Khalid, Faiq & Nanjiani, Sunil & Hasan, Syed Rafay & Hasan, Osman & Shafique, Muhammad & Awwad, Falah. (2018). Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. 10.1109/ISCAS.2018.8351102.
• Mohammed, Hawzhin & Rafay Hasan, Syed & Ashiqur Rahman, Mohammad. (2018). Load Control and Privacy-Preserving Scheme for Data Collection in AMI Networks.
• Khalid, Faiq & Hasan, Syed Rafay & Hasan, Osman & Awwad, Falah. (2018). Runtime Hardware Trojan Monitors Through Modeling Burst Mode Communication Using Formal Verification. Integration the VLSI Journal. 61. 62-76. 10.1016/j.vlsi.2017.11.003.
• Hailesellasie, Muluken & Hasan, Syed Rafay & Khalid, Faiq & Awwad, Falah & Shafique, Muhammad. (2018). FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. 10.1109/ISCAS.2018.8351283.
• Fulum Mossa, Siraj & Hasan, Syed Rafay & Elkeelany, Omar. (2017). Hardware trojans in 3-D ICs due to NBTI effects and countermeasure. Integration, the VLSI Journal. 59. 10.1016/j.vlsi.2017.03.009.
• F. Khalid*, S. R. Hasan, O. Hasan, F. Awwad, "Runtime Hardware Trojan Monitors Though Modeling Burst Mode Communication using Formal Verification", Integration, The VLSI Journal, Vol. 61, pp. 62-76, March 2018, https://doi.org/10.1016/j.vlsi.2017.11.003 
• M. Nabil, M. Ismail, M. Mahmoud, M. Shahin, K. Qaraqe, and E. Serpedin, “Deep Learning-Based Detection of Electricity Theft Cyber-Attacks in Smart Grid AMI Networks,” in Deep Learning Applications for Cyber Security, Advanced Sciences and Technologies for Security Applications Series. Springer, 2018.
• M. Pazos-Revilla, A. Alsharif, S. Gunukula, N. Guo, M. Mohamed, and X. Shen, “Privacy-preserving physical-layer-assisted charging authorization scheme for EV dynamic charging system,” IEEE Transactions on Vehicular Technology, vol. 67, no. 4, pp. 3304–3318, April 2018.
• Vitaly Ford, Daniel Taylor, Ambareen Siraj, “AMIsim: Application-layer Advanced Metering Infrastructure Simulation Framework for Secure Communication Protocol Performance Evaluation”, Proceedings: 11th USENIX Workshop on Cyber Security Experimentation and Test (CSET ‘18) held in Baltimore, MD, August, 2018.
• Enahoro Oriero and Mohammad Ashiqur Rahman, Privacy Preserving Fine-Grained Data Distribution Aggregation for Smart Grid AMI Networks, the 37th International Conference for Military Communications (MILCOM), Los Angeles, USA, October 2018.
• A H M Jakaria and Mohammad Ashiqur Rahman, Formal Analysis of k-Resiliency for Collaborative UAVs, The 42nd IEEE Computer Society International Conference on Computers, Software, and Applications (COMPSAC), Tokyo, Japan, July 2018.
• MGM Mehedi Hasan, Amarjit Datta, Mohammad A. Rahman, and Hossain Shahriar, Chained of Things: A Secure and Dependable Design of Autonomous Vehicle Services, 13th IEEE International Workshop on Security, Trust, and Privacy for Software Applications (STPSA) in conjunction with the 42th IEEE COMPSAC, Tokyo, Japan, July 2018.
• Mohammed, Hawzhin, Syed Rafay Hasan, and Mohammad Ashiqur Rahman. "Load Control and Privacy-Preserving Scheme for Data Collection in AMI Networks." arXiv preprint arXiv:1807.11565 (2018).
• Jakaria, A. H. M., Md Mosharaf Hossain, and Mohammad Ashiqur Rahman. "Smart Weather Forecasting Using Machine Learning: A Case Study in Tennessee." (2018).
• Oriero, Enahoro, and Mohammad Ashiqur Rahman. "Privacy Preserving Fine-Grained Data Distribution Aggregation for Smart Grid AMI Networks." MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM). IEEE, 2018.
• Hasan, Syed Rafay, Charles A. Kamhoua, Kevin A. Kwiat, and Laurent Njilla. "A Novel Framework to Introduce Hardware Trojan Monitors using Model Checking Based Counterexamples: Inspired by Game Theory." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 853-856. IEEE, 2018.
• Islam, Sheikh Rabiul, Sheikh Khaled Ghafoor, and William Eberle. "Mining Illegal Insider Trading of Stocks: A Proactive Approach." In 2018 IEEE International Conference on Big Data (Big Data), pp. 1397-1406. IEEE, 2018.
• Baza, Mohamed, Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud, Erchin Serpedin, and Mohammad Rahman. "Blockchain-based privacy-preserving charging coordination mechanism for energy storage units." arXiv preprint arXiv:1811.02001 (2018).
• M. Nabil, A. Alsharif, A. Sherif, M. Mahmoud and M. Younis, "Efficient Multi-Keyword Ranked Search over Encrypted Data for Multi-Data-Owner Settings," 2018 IEEE International Conference on Communications (ICC), Kansas City, MO, 2018, pp. 1-6.
• M. Nabil, M. Ismail, M. Mahmoud, M. Shahin, K. Qaraqe and E. Serpedin, "Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters," 2018 24th International Conference on Pattern Recognition (ICPR), Beijing, 2018, pp. 740-745.
• Hossain, Md Mosharaf, Thomas M. Hines, Sheikh K. Ghafoor, Ryan J. Marshall, Muzakhir S. Amanzholov, and Ramakrishnan Kannan. "Performance Issues of SYRK Implementations in Shared Memory Environments for Edge Cases." In 2018 21st International Conference of Computer and Information Technology (ICCIT), pp. 1-7. IEEE, 2018.
• Mohammed, Hawzhin, Jimmy Howell, Syed Rafay Hasan, Nan Guo, Faiq Khalid, and Omar Elkeelany. "Hardware Trojan Based Security Issues in Home Area Network: A Testbed Setup." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 972-975. IEEE, 2018.
• Oriero, Enahoro, and Syed Rafay Hasan. "All Digital Low Power Aging Sensor for Counterfeit Detection in Integrated Circuits." In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 33-36. IEEE, 2018.
• Baza, Mohamed, Mahmoud Nabil, Noureddine Lasla, Kemal Fidan, Mohamed Mahmoud, and Mohamed Abdallah. "Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles." arXiv preprint arXiv:1811.05905(2018).
• Alsharif, Ahmad, Mahmoud Nabil, Samet Tonyali, Hawzhin Mohammed, Mohamed Mahmoud, and Kemal Akkaya. "EPIC: Efficient Privacy-Preserving Scheme with E2E Data Integrity and Authenticity for AMI Networks." IEEE Internet of Things Journal (2018).
• David W. Brown, Sheikh K. Ghafoor, and Stephen Canfield. 2018. Instruction of introductory programming course using multiple contexts. In Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE 2018). ACM, New York, NY, USA, 147-152. DOI: https://doi.org/10.1145/3197091.3197105 
• Sherif, Ahmed, Muhammad Ismail, Marbin Pazos-Revilla, Mohamed Mahmoud, Kemal Akkaya, Erchin Serpedin, and Khalid Qaraqe. "Privacy preserving power charging coordination scheme in the smart grid." Transportation and Power Grid in Smart Cities: Communication Networks and Services (2018): 555-576.
• Sherifl, A. Alsharif, M. Mahmoud, M. Abdallah and M. Song, "Efficient Privacy-Preserving Aggregation Scheme for Data Sets," 2018 25th International Conference on Telecommunications (ICT), St. Malo, 2018, pp. 191-195.
• T. Guo and M. Mahmoud, "Performance Analysis of Physical-Layer-Based Authentication for Electric Vehicle Dynamic Charging," 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, 2018, pp. 1-7.
• Ford, Vitaly, Daniel Tyler, and Ambareen Siraj. "AMIsim: application-layer advanced metering infrastructure simulation framework for secure communication protocol performance evaluation." In 11th {USENIX} Workshop on Cyber Security Experimentation and Test ({CSET} 18). 2018.
• Anshu Bhattarai, Ambareen Siraj, “Increasing Accuracy of Hand-Motion Based Continuous Authentication Systems”, Proceedings: 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) held in New York, NY, November 8-10, 2018.
• Gustavo Angeles, Terry Guo, and Ambareen Siraj, “An Exploratory IoT Testbed for Cyber-Physical Systems Security Research”, Proceedings: ACM Mid-Southeast Conference, held in Gatlinburg, TN, November, 2018.
• “A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person Centered Care among Nursing Home Residents”, Gerald C. Gannod, Katherine M. Abbott, Kimberly Van Haitsma, Nathan Martindale and Alexandra Heppner, The Gerontologist (special issue on Technology and Aging), Oxford University Press, 2018. Impact Factor: 3.505, doi:10.1093/geront/gny056
• “Delivering Person Centered Care: Important Preferences for Recipients of Long-Term Services and Supports”, Katherine M. Abbott, Rachel
 Kendall A. Leser, PhD, Jane Straker, Gerald C. Gannod, Kimberly Van Haitsma, Journal of the American Medical Directors Association (JAMDA), 2018.
• “Establishing an Agile Mindset and Culture for Workforce Preparedness: A Baseline Study”, Gerald C. Gannod, William Eberle, Douglas Talbert, Robert A. Cooke, Kathy Hagler, Kathy Opp, and Jasmin Baniya, to appear in the Proceedings of the IEEE Frontiers in Education (FIE18) Conference, October 2018.
• “Using Machine Learning to Facilitate the Delivery of Person Centered Care in Nursing Homes”, Gerald C. Gannod, Katherine M. Abbott, Kimberly Van Haitsma, Nathan Martindale, Rachel A. Kaczka Jennings, and Chelsey Long”, accepted to appear in the Proceedings of the 31st Florida Artificial Intelligence Research Society (FLAIRS) Conference, AAAI, May 2018.
• Lenin Mookiah, William Eberle, and M. Mondal, “Personalized News Recommendation using Graph-Based Approach”, Intelligent Data Analysis, an International Journal, Volume 22 (2018) 881–909.

 

2017 Publications

• F. K. Lodhi*, S. R. Hasan, O. Hasan, F. Awwad, "Power Profiling of Microcontroller's Instruction Set for Runtime Hardware Trojans Detection without Golden Circuit Models", in IEEE/ACM Conference on Design Automation and Test Europe (DATE), Lausanne, Switzerland, 2017
• S. Kottler*, M. Khayamy, S. R. Hasan, O. Elkeelany, "Formal Verification of Ladder Logic programs using NuSMV", in IEEE South East Conference, 2017
• F. K. Lodhi*, S. R. Hasan, O. Hasan, F. Awwad, " Behavior Profiling of Power Distribution Networks for Runtime Hardware Trojan Detection", in IEEE International MidWest Symposium on Circuits and Systems, 2017
• O. Adegbite*, S. R. Hasan, "A Novel Correlation Power Analysis Attack on PIC Based AES-128 without Access to Crypto-Device", in IEEE International MidWest Symposium on Circuits and Systems, 2017
• S. F. Mossa*, S. R. Hasan, O. S. A. Elkeelany, "Self-triggering Hardware Trojan: Due to NBTI Related Aging in 3-D ICs", Integration, The VLSI Journal, Vol. 58, pp. 116 - 124, June, 2017 DOI: http://dx.doi.org/10.1016/j.vlsi.2016.12.013 
• S. F. Mossa*, S. R. Hasan, O. S. A. Elkeelany, "Hardware Trojans in 3-D ICs Due to NBTI Effects and Countermeasure", Integration, The VLSI Journal, Vol. 59, pp. 64 - 74, September, 2017. DOI: http://dx.doi.org/10.1016/j.vlsi.2017.03.009
• K. Rabieh, M. Mahmoud, K. Akkaya, S. Tonyali, “Scalable certificate revocation schemes for smart grid AMI networks using Bloom filters,” IEEE Transactions on Dependence and Secure Computing (TDSC), vol. 14, no. 4, pp. 420–432, 2017.
• M. Mahmoud, N. Saputro, P. Akula, and K. Akkaya, “Privacy-preserving power injection over a hybrid AMI/LTE smart grid network,” IEEE Journal on Internet of Things (IoT), vol. 4, no. 4, p. 870 – 880, August 2017.
• Sherif, K. Rabieh, M. Mahmoud, and X. Liang, “Privacy-preserving ride sharing scheme for autonomous vehicles in big data era,” IEEE Journal on Internet of Things (IoT), vol. 4, no. 2, pp. 611–618, April 2017.
• K. Rabieh, M. Mahmoud, and M. Younis, “Privacy-preserving route reporting schemes for traffic management systems,” IEEE Transactions on Vehicular Technology (TVT), vol. 66, no. 3, pp. 2703– 2713, March 2017.
• A H M Jakaria, Mohammad Ashiqur Rahman, and Carol Fung, Automated Synthesis of NFV Topology: A Security Requirement-Oriented Design, the 13th International Conference on Network and Service Management (CNSM), Short Paper, Tokyo, Japan, November 2017.
• Amarjit Datta and Mohammad Ashiqur Rahman, Cyber Threat Analysis Framework for the Wind Energy Based Power System, ACM Workshop on Cyber-Physical Systems Security & Privacy (CPS-SPC) in conjunction with the 24th ACM CCS, Dallas, Texus, USA, November 2017.
• Bata Krishna Tripathy, Ashray Sudhir, Padmalochan Bera, Mohammad Ashiqur Rahman, Formal Modelling and Verification of Requirements of Adaptive Routing Protocol for Mobile AdHoc Network, The 41st IEEE Computer Society International Conference on Computers, Software, and Applications (COMPSAC), Torino, Italy, July 2017.
• Khalid, Faiq & Hasan, Syed Rafay & Hasan, Osman & Awwad, Falah. (2017). Behavior Profiling of Power Distribution Networks for Runtime Hardware Trojan Detection. 10.1109/MWSCAS.2017.8053173.
• Mahmoud, Mohamed & Saputro, Nico & Kumar Akula, Prem & Akkaya, Kemal. (2017). Privacy-Preserving Power Injection over a Hybrid AMI/LTE Smart Grid Network. IEEE Internet of Things Journal. 4. 870-880. 10.1109/JIOT.2016.2593453.
• Saputro, Nico & Tonyalı, Samet & Akkaya, Kemal & Cebe, Mumin & Mahmoud, Mohamed. (2017). Efficient Certificate Verification for Vehicle-to-Grid Communications. 3-18.
• Hailesellasie, Muluken & Hasan, Syed Rafay. (2017). Intrusion Detection in PLC-Based Industrial Control Systems Using Formal Verification Approach in Conjunction with Graphs. Journal of Hardware and Systems Security. 10.1007/s41635-017-0017-y.
• Hasan, Syed Rafay & Tangellapalli, Phani. (2017). Area efficient soft error tolerant RISC pipeline: Leveraging data encoding and inherent ALU redundancy. 699-702. 10.1109/MWSCAS.2017.8053019.
• Adegbite, Oluwadara & Hasan, Syed Rafay. (2017). A Novel Correlation Power Analysis Attack on PIC Based AES-128 without Access to Crypto Device. 10.1109/MWSCAS.2017.8053174.
• Kottler, Sam & Khayamy, Mehdy & Hasan, Syed Rafay & Elkeelany, Omar. (2017). Formal verification of ladder logic programs using NuSMV. 1-5. 10.1109/SECON.2017.7925390.
• Vitaly Ford, Ambareen Siraj, Eric Brown and Ada Haynes, “Capture the Flag Unplugged: An Offline Cyber Competition”, Proceedings: ACM Special Interest Group on Computer Science Education (SIGCSE), held in Seattle, WA, March 8th - 11th, 2017.
• “Agile Manifesto for Teaching and Learning”, Timothy C. Krehbiel, Peter A. Salzarulo, Michelle Cosmah, John Forren, Gerald Gannod, Douglas Havelka, Andrea Hulshult, and Jeffrey Merhout, Journal of Effective Teaching, 2017, (in press).
• Sirisha Velampalli, Lenin Mookiah, and William Eberle, “Detecting Vehicular Patterns Using a Graph-Based Approach,” IEEE Conference on Visual Analytics Science and Technology (VAST), October 2017.
• Deon Liang, Chih-Fong Tsai, An-Jie Dai, and William Eberle, “A novel classifier ensemble approach for financial distress prediction,” Knowledge and Information Systems, An International Journal, May 2017.
• Lenin Mookiah, Chris Dean, and William Eberle, “Graph-Based Anomaly Detection on Smart Grid Data,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
• Ramesh Paudel, William Eberle, and Douglas Talbert “Detection of Anomalous Activity in Diabetic Patients Using Graph-Based Approach,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
• Sirisha Velampalli and William Eberle, “Novel Graph Based Anomaly Detection Using Background Knowledge,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.
• Nishith Thakkar, Lenin Mookiah, Douglas Talbert, and William Eberle, “Anomalies in Student Enrollment Using Visualization,” International Conference of the Florida AI Research Society (FLAIRS), May 2017.

 

2016 Publications

• S. R. Hasan, Charles Kamhoua, Kevin Kwiat and Laurent Njilla, "Translating Circuit Behavior Manifestations of Hardware Trojans using Model Checkers into Run-time Trojan Detection Monitors" in AsianHOST, Taipei, Taiwan,  2016
• F. K. Lodhi*, I. Abbasi , F. Khalid , O. Hasan , F. Awwad and S. R. Hasan, "A Self-learning Framework to Detect the Intruded Integrated Circuit", in IEEE international symposium of circuits and systems (ISCAS' 2016)
• S. R. Hasan, Charles Kamhoua, Kevin Kwiat and Laurent Njilla, "Translating Circuit Behavior Manifestations of Hardware Trojans using Model Checkers into Run-time Trojan Detection Monitors" in AsianHOST, Taipei, Taiwan, 2016
• F. K. Lodhi*, I. Abbasi , F. Khalid , O. Hasan , F. Awwad and S. R. Hasan, "A Self-learning Framework to Detect the Intruded Integrated Circuit", in IEEE international symposium of circuits and systems (ISCAS' 2016)
• Vitaly Ford, Ambareen Siraj, and M. Ashiqur. Rahman, “Secure and Efficient Protection of Consumer Privacy in Advanced Metering Infrastructure Supporting Fine-grained Data Analysis”, Journal of Computer and System Sciences Special Issue on Cyber Security in the Critical Infrastructure: Advances and Future Directions, Volume 83, Issue 1, Pages 84-100, 2016.
• Jeffery D. Dodson and Ambareen Siraj, "Applying Fuzzy Hashing to Steganography," International Journal of Future Computer and Communication vol. 4, no. 6, pp. 421-425, 2015.
• Ambareen Siraj, Blair Taylor, Siddarth Kaza, Sheikh Ghafoor (2015), “Integrating Security in The Computer Science Curriculum,” ACM Inroads, 6(2), pp 77-81
• Brian Ledbetter, Zach Wallace, Adam Harms, Ambareen Siraj, and Laurin Buchanan, "CySCom: CyberSecurity COMics," in IEEE Intelligence and Security Informatics Conference, held in Tucson, AZ September 28-30, 2016.
• Christa Cody, Vitaly Ford, and Ambareen Siraj, “Decision Tree Learning for Fraud Detection in Consumer Energy Consumption,” in the 14th IEEE International Conference on Machine Learning and Applications, 2015.
• Khaled Rabieh, Mohamed Mahmoud, Ambareen Siraj, J. Misic, “Efficient Privacy-Preserving Chatting Scheme with Degree of Interest Verification for Vehicular Social Networks”, Proc. of IEEE Global Communications Conference, Selected Areas in Communications: Social Networks, San Diego, USA, 2015.
• Lenin Mookiah, William Eberle, and Ambareen Siraj, “Survey of Crime Analysis and Prediction,” International Conference of the Florida AI Research Society (FLAIRS), May 2015.
• “vizSlice: Visualizing Large Scale Software Slices”, Hakam Alomari, Rachel Jennings, Paulo Virote de Souza, Matthew Stephan, and Gerald C. Gannod, in Proceedings of the 2016 IEEE Working Conference on Software Visualization (VISSOFT), October 2016.
• Zdravko Markov, Ingrid Russell, and William Eberle, “Report on the 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS-29),” AI Magazine, Winter 2016.
• Lenin Mookiah and William Eberle, “Co-Ranking Authors in Heterogeneous News Networks,” 2016 International Conference on Computational Science and Computational Intelligence, December 2016.
• Sirisha Velampalli and William Eberle, “Novel Application of MapReduce and Conceptual Graphs,” 2016 International Conference on Computational Science and Computational Intelligence, December 2016.
• William Eberle and Lawrence Holder, “Identifying Anomalies in Graph Streams Using Change Detection,” Conference on Knowledge Discovery and Data Mining (KDD) Mining and Learning with Graphs (MLG), August 2016.
• Lenin Mookiah, William Eberle, and Maitrayi Mondal, “Detecting Change in News Feeds Using a Context-Based Graph,” International Conference on Data Mining (DMIN), 2016.
• Dario Cruz, Doug Talbert, William Eberle, and Joseph Biernacki, “A neural network approach for predicting microstructure development in cement,” Int’l Conf. Artificial Intelligence, ICAI’16, pp. 328-334, 2016.
• M.-W. Huang, W.-C. Lin, L. Chih-Wen, C. Shih-en, C.-F. Tsai, and W. Eberle, “Data preprocessing issues for incomplete medical datasets,” Expert Systems, June 2016.