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Al Mallah, R., Halabi, T., & Farooq, B. (2023). Resilience-by-design in adaptive multi-agent traffic control systems. ACM Transactions on Privacy and Security, 26(3), 27 pages. Lien externe
Al Mallah, R., López, D., & Halabi, T. (février 2023). Blockchain-enabled efficient and secure federated learning in IoT and edge computing networks [Communication écrite]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. Lien externe
Al Mallah, R., López, D., Badu-Marfo, G., & Farooq, B. (2023). Untargeted poisoning attack detection in federated learning via behavior attestationAI. IEEE Access, 11, 125064-125079. Lien externe
Alja’Afreh, M., Al Mallah, R., Karime, A., & El Saddik, A. (septembre 2023). Cybersecurity in the metaverse: Challenges and approaches [Communication écrite]. International Conference on Intelligent Metaverse Technologies & Applications (iMETA 2023), Tartu, Estonia (8 pages). Lien externe
Badu-Marfo, G., Farooq, B., Mensah, D. O., & Al Mallah, R. (2023). An ensemble federated learning framework for privacy-by-design mobility behaviour inference in smart cities. Sustainable Cities and Society, 97, 104703 (17 pages). Lien externe
López, D., Farooq, B., & Al Mallah, R. (juillet 2023). Adapting detection in blockchain-enabled federated learning for IoT networks [Communication écrite]. 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Tenerife, Canary Islands, Spain (6 pages). Lien externe
Wiebe, J., Al Mallah, R., & Li, L. (août 2023). Learning cyber defence tactics from scratch with multi-agent reinforcement learning [Communication écrite]. 2nd International Workshop on Adaptive Cyber Defense (ACD 2023), Melbourne, Florida, USA (10 pages). Lien externe
