Enhancing Security and Energy Efficiency of Cyber-Physical Systems using Deep Reinforcement Learning. - Saeid Jamshidi; Ashkan Amirnia; Amin Nikanjam; Foutse Khomh (ANT/EDI40, 2024)

A Dynamic Security Pattern Selection Framework Using Deep Reinforcement Learning. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (SSE, 2025)

Evaluating machine learning-driven intrusion detection systems in IoT: Performance and energy consumption. - Saeid Jamshidi; Kawser Wazed Nafi; Amin Nikanjam; Foutse Khomh (Comput. Ind. Eng., 2025)

Application of deep reinforcement learning for intrusion detection in Internet of Things: A systematic review. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Rasoul Rasta (Internet Things, 2025)

The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities. - Saeid Jamshidi; Negar Shahabi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Carol Fung (Internet Things, 2025)

Self-adaptive cyber defense for sustainable IoT: A DRL-based IDS optimizing security and energy efficiency. - Saeid Jamshidi; Ashkan Amirnia; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh; Samira Keivanpour (J. Netw. Comput. Appl., 2025)

Leveraging Machine Learning Techniques in Intrusion Detection Systems for Internet of Things. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (CoRR, 2025)

Understanding the impact of IoT security patterns on CPU usage and energy consumption: a dynamic approach for selecting patterns with deep reinforcement learning. - Saeid Jamshidi; Amin Nikanjam; Kawser Wazed Nafi; Foutse Khomh (Int. J. Inf. Sec., 2025)