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Documents publiés en "2026"

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Nombre de documents: 6

Département de génie informatique et génie logiciel

Arisdakessian, S., Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., & Guizani, M. (2026). Designing Federated Learning Marketplaces: Incentives, Network Dynamics, and Decentralized Learning. IEEE Transactions on Network Science and Engineering, 18 pages. Lien externe

Jamshidi, S., Abdul Wahab, O., Herrero, R., Khomh, F., Bellaïche, M., Keivanpour, S., Shahabi, N., Nikanjam, A., & Wazed Nafi, K. (2026). Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet of Things Journal, 30 pages. Lien externe

Jamshidi, S., Khomh, F., Fung, C., Abdul Wahab, O., & Herrero, R. (2026). Securing Time Integrity in Energy IoT Against Clock Drift and Y2K38 Failures. IEEE Internet of Things Journal. Lien externe

Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (juin 2026). Mitigating One-to-N Backdoor Attacks in Federated Learning [Communication écrite]. 2nd International Conference on Federated Learning and Intelligent Computing Systems (FLICS 2026), Valencia, Spain. Lien externe

Younsi, M., Abdul Wahab, O., Abusitta, A., & Bellaïche, M. (2026). Green Cybersecurity Metrics for Intrusion Detection Systems. IEEE Transactions on Sustainable Computing, 15 pages. Lien externe

Département de mathématiques et de génie industriel

Jamshidi, S., Abdul Wahab, O., Herrero, R., Khomh, F., Bellaïche, M., Keivanpour, S., Shahabi, N., Nikanjam, A., & Wazed Nafi, K. (2026). Think Fast: Real-Time IoT Intrusion Reasoning Using IDS and LLMs at the Edge Gateway. IEEE Internet of Things Journal, 30 pages. Lien externe

Liste produite: Mon Sep 21 14:53:44 2026 EDT.