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Ranwa Al MallahDepartment of Computer Engineering and Software Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Alja’Afreh, M., Hasan, O., Al Mallah, R., & Karime, A. (2024, November). Blockchain-driven networking and communications in the metaverse [Paper]. 6th International Conference on Blockchain Computing and Applications (BCCA 2024), Dubai, United Arab Emirates. 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
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
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., Badu-Marfo, G., & Farooq, B. (2023). Untargeted poisoning attack detection in federated learning via behavior attestationAI. IEEE Access, 11, 125064-125079. External link
Al Mallah, R., Halabi, T., Alja’Afreh, M., & Karime, A. (2022, October). Artificial intelligence for cybersecurity in IoT-enabled avionics: Challenges and solutions [Paper]. 8th IEEE World Forum on Internet of Things (WFIoT 2022), Yokohama, Japan (8 pages). External link
Al Mallah, R., & López, D. (2022, November). Blockchain-based monitoring for poison attack detection in decentralized federated learning [Paper]. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Maldives, Maldives (6 pages). External link
Al Mallah, R., López, D., & Farooq, B. (2021). Cyber-security risk assessment framework for blockchains in smart mobility. IEEE Open Journal of Intelligent Transportation Systems, 2, 294-311. External link
Al Mallah, R., Badu-Marfo, G., & Farooq, B. (2021, July). Cybersecurity threats in connected and automated vehicles based federated learning systems [Paper]. IEEE Intelligent Vehicles Symposium Workshops (IV Workshops 2021), Nagoya, Japan. External link
Al Mallah, R., Badu-Marfo, G., & Farooq, B. (2021). On the initial behavior monitoring issues in federated learning. IEEE Access, 9, 161046-161054. External link
Al Mallah, R., & Farooq, B. (2020, September). Actor-based risk analysis for blockchains in smart mobility [Paper]. 3rd Workshop on Cryptocurrencies and Blockchains for Distributed Systems (CryBlock 2020), London, United Kingdom. External link
Al Mallah, R., Quintero, A., & Farooq, B. (2020). Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. IEEE Transactions on Intelligent Transportation Systems, 21(1), 59-67. External link
Al Mallah, R., Quintero, A., & Farooq, B. (2017). Distributed Classification of Urban Congestion Using VANET. IEEE Transactions on Intelligent Transportation Systems, 18(9), 2435-2442. External link
Al Mallah, R., & Quintero, A. (2009). A light-weight service discovery protocol for Ad Hoc networks. Journal of Computer Science, 5(4), 330-337. External link
Al Mallah, R. (2008). Réseau dorsal virtuel pour la découverte de services dans les réseaux ad hoc [Master's thesis, École Polytechnique de Montréal]. Available
Broda-Milian, K., Dagdougui, H., & Al Mallah, R. (2024, September). The Bifurcation Method: White-Box Observation Perturbation Attacks on Reinforcement Learning Agents on a Cyber Physical System [Paper]. International Conference on Machine Learning and Cybernetics (ICMLC 2024), Miyazaki, Japan. External link
Badu-Marfo, G., Al Mallah, R., & Farooq, B. (2024, June). Defense via behavior attestation against attacks in connected and automated vehicles based federated learning systems [Paper]. 99th IEEE Vehicular Technology Conference (VTC 2024-Spring), Singapore, Singapore (7 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
Légère, A., Li, L., Rivest, F., & Al Mallah, R. (2024, July). Training environments for reinforcement learning cybersecurity agents [Paper]. International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS 2024), Gatineau, QC, Canada (5 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
McDonald, G., Li, L., & Al Mallah, R. (2024). Finding the optimal security policies for autonomous cyber operations with competitive reinforcement learning. IEEE Access, 12, 120292-120305. External link
Meshinchi, A., Al Mallah, R., & Quintero, A. (2020, October). QoS-aware adaptive resource allocation framework in the integrated SDN transport and IoT [Presentation]. In 14th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2020), Nice, France. Unavailable
Meshinchi, A., Al Mallah, R., & Quintero, A. (2020, October). Status-aware and SLA-aware QoS routing model for SDN transport network [Presentation]. In 14th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2020), Nice, France. Unavailable
Neal, C., Al Mallah, R., Fernandez, J. M., & Lodi, A. (2020, August). Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input [Paper]. 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2020), London, ON, Canada (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
