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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. External link
Al Mallah, R., López, D., & Halabi, T. (2023, February). Blockchain-enabled efficient and secure federated learning in IoT and edge computing networks [Paper]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. External link
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. External link
Alja’Afreh, M., Al Mallah, R., Karime, A., & El Saddik, A. (2023, September). Cybersecurity in the metaverse: Challenges and approaches [Paper]. International Conference on Intelligent Metaverse Technologies & Applications (iMETA 2023), Tartu, Estonia (8 pages). External link
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). External link
López, D., Farooq, B., & Al Mallah, R. (2023, July). Adapting detection in blockchain-enabled federated learning for IoT networks [Paper]. 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023), Tenerife, Canary Islands, Spain (6 pages). External link
Wiebe, J., Al Mallah, R., & Li, L. (2023, August). Learning cyber defence tactics from scratch with multi-agent reinforcement learning [Paper]. 2nd International Workshop on Adaptive Cyber Defense (ACD 2023), Melbourne, Florida, USA (10 pages). External link
