Documents publiés en "2025"

Pour citer ou exporter
Grouper par: Auteurs ou autrices | Département | Sous-type de document | Aucun groupement
Nombre de documents: 7

Article de revue

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. (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

Majidi, F., Khomh, F., Li, H., & Nikanjam, A. (2025). An efficient model maintenance approach for MLOps. Empirical Software Engineering, 31(1), 48 pages. Lien externe

Nouwou Mindom, P. S., Da Silva, L., Nikanjam, A., & Khomh, F. (2025). Continuously Learning Bug Locations. ACM Transactions on Software Engineering and Methodology. Lien externe

Tambon, F., Moradidakhel, A., Nikanjam, A., Khomh, F., Desmarais, M. C., & Antoniol, G. (2025). Bugs in large language models generated code: an empirical study. Empirical Software Engineering, 30(3), 48 pages. Lien externe

Commentaire ou lettre

Jamshidi, S., Shahabi, N., Nikanjam, A., Wazed Nafi, K., Khomh, F., & Fung, C. (2025). The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities [Commentaire ou lettre]. Internet of Things, 34, 101735 (31 pages). Lien externe

Liste produite: Tue Oct 20 08:40:39 2026 EDT.