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Jamshidi, S., Amirnia, A., Nikanjam, A., Wazed Nafi, K., Khomh, F., & Keivanpour, S. (2025). Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency. Journal of Network and Computer Applications, 104176. Lien externe
Jamshidi, S., Nikanjam, A., Wazed Nafi, K., & Khomh, F. (août 2025). Deep Reinforcement Learning-Based Intrusion Detection System: Defending Edge Gateways Against Mirai and Gafgyt [Communication écrite]. 12th International Conference on Future Internet of Things and Cloud (FiCloud 2025), Istanbul, Turkiye. Lien externe
Jamshidi, S., Nikanjam, A., Wazed Nafi, K., & Khomh, F. (juillet 2025). A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning [Communication écrite]. International Conference on Software Services Engineering (SSE 2025), Helsinki, Finland. Lien externe
Jamshidi, S., Nikanjam, A., Wazed Nafi, K., & Khomh, F. (2025). Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning. International Journal of Information Security, 24(2), 40 pages. Lien externe
Jamshidi, S., Nikanjam, A., Wazed Nafi, K., Khomh, F., & Rasta, R. (2025). Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review. Internet of Things, 31, 101531 (29 pages). Lien externe
Jamshidi, S., Wazed Nafi, K., Nikanjam, A., & Khomh, F. (2025). Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. Computers & Industrial Engineering, 204, 111103 (17 pages). Lien externe
