2026
Conferences:
1. Ahsan Waseem, Alexander Perez Pons, Muhammad Nadeem, Hossain Shahriar, and Mohammad Ashiqur Rahman, “Evidence-Based Reliability Estimation in Deep Neural Networks Using Dempster–Shafer Theory,” Published / appeared in IEEE COMPSAC 2026.
2. Mahmudul Islam Prakash, A B M Kamrul Islam Riad, Md Emran, Sajida Shabanali, Ishraq Karim, Tasnim Tawhid, Shafayet Jamil Hossain, and Hossain Shahriar, “A Lightweight Agentic Self-Adaptive Intrusion Detection System for Flow-Based Network Traffic,” Published / appeared in IEEE COMPSAC 2026.
3. Knickerbocker, Jeremy, Syed Rafay Hasan, Amr Hilal, and Mohammad Ashiqur Rahman. “Proteus: A Morpheus II Extension for System-Level Moving-Target Defense and Key-Exposure Hardening.” In 2026 27th International Symposium on Quality Electronic Design (ISQED), pp. 1-10. IEEE, 2026.
4. N. M. Istiak Chowdhury and Ragib Hasan, “Trust-Aware Information Bidding for Autonomous Vehicles: A Belief Rule-Based Approach”, In Proceedings of the 3rd IEEE World Forum on Public Safety Technology (WF-PST), Boulder, Colorado, September 2026.
5. N. M. Istiak Chowdhury, Ragib Hasan, and Joshua Agberebi, “A Swarm-Level Security Framework for Cooperative Drones and Connected Vehicles”, In Proceedings of the 3rd IEEE World Forum on Public Safety Technology (WF-PST), Boulder, Colorado, September 2026.
6. N. M. Istiak Chowdhury, Ragib Hasan, and Joshua Agberebi, “HARP-Trust: Hierarchical and Resilient Provenance-Trust in Cooperative Drone–Vehicle Disaster Response Systems”, In Proceedings of the 3rd IEEE World Forum on Public Safety Technology (WF-PST), Boulder, Colorado, September 2026
7. Mohammad Zakaria Haider, Muhammad Nadeem, and Mohammad Ashiqur Rahman, “Topology Switching as Proactive Agility Against Adversarial Cyberattacks”, accepted at IEEE PESGM 2026.
8. Sayemul Islam, Mohammad Zakaria Haider, Mucun Sun, and Mohammad Ashiqur Rahman, “Enhancing Cyber-Resilience of Automatic Generation Control through Moving Target Defense”, accepted at IEEE PESGM 2026.
9. N. M. Istiak Chowdhury, Mohammad Zakaria Haider, Mohammad Ashiqur Rahman, Ragib Hasan, “Provenance-Aware Trust Framework for Autonomous Vehicles: A Generative AI-Inspired Hybrid Approach for Decentralized Information Validation,” accepted at IEEE COMPSAC 2026.
10. Mohammad Zakaria Haider and Mohammad Ashiqur Rahman, ” Agentic Reinforcement Learning for Adaptive Moving Target Defense in Cyber-Physical Systems”, accepted at the Doctoral Forum of 56th Annual IEEE/IFIP International Conference on Dependable Systems and Networks.
2025
1. Mohammad Zakaria Haider, Mohammad Nadeem, Prabin Mali, Mohammad Ashiqur Rahman, and Sumit Paudyal, “RL-Powered Hybrid MTD for Resilient Defense Against False-Data Injection,” to be submitted to IEEE Transactions on Dependable and Secure Computing in August 2025.
2. Ridhi Khatua and Aydin Aysu, “Machine Learning-Aided Detection of DoS Attacks using Side-Channel Power Analysis,” is being prepared for peer review.
Conferences
1. R. Khatua, A. Aysu and A. Chakrabortty, “Machine Learning-Aided Detection of DoS Attacks in Power Systems using Side-Channel Monitoring,” 2025 57th North American Power Symposium (NAPS), Storrs, CT, USA, 2025, doi: 10.1109/NAPS66256.2025.11272339.
2. NM Istiak Chowdhury, Sharif Noor Zisad, and Ragib Hasan, “FIF-Drone: A Forensic Investigation Framework for Drones”, to appear at the 2025 IEEE World Forum on Public Safety Technologies, Orlando, Florida, September 2025.
3. David Perry, Mohammad Zakaria Haider, Kumail Kazmi, Mohammad Ashiqur Rahman and Hossain Shahriar, “Physics-Informed Learning-based Attack Analytics for Electric Vehicle Charging Management Systems”, accepted in IEEE Computer Society Signature Conference on Computers, Software, and Applications-2025.
4. A. K. Podder, A. Chakrabortty, and M. A. Rahman, “Resilient charging control of electric vehicles against denial of service attacks using neural networks,” accepted in 2025 Power\& Energy General Meeting, Austin, Texas, 2025.
5. M. Asif, P. Mali, M. Z. Haider, L. Ren, M. A. Rahman, and S. Paudyal, “Adversarially Robust Intrusion Detection for PMU-Enhanced Power Grids: Detecting Stealthy Attacks in a Wide Area Control Framework,” accepted in IEEE Power \& Energy Society General Meeting (PESGM), 2025.
2021

