Alja’Afreh, M., Hasan, O., Al Mallah, R., & Karime, A. (novembre 2024). Blockchain-driven networking and communications in the metaverse [Communication écrite]. 6th International Conference on Blockchain Computing and Applications (BCCA 2024), Dubai, United Arab Emirates.
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Al Mallah, Ranwa
Répertoire des expertises
Al Mallah, Ranwa
Répertoire des expertises
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Article de revue (7)
Communication de conférence (13)
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Ranwa Al-Mallah (20)
- 2024 (4)
Communication de conférence Communication de conférence Badu-Marfo, G., Al Mallah, R., & Farooq, B. (juin 2024). Defense via behavior attestation against attacks in connected and automated vehicles based federated learning systems [Communication écrite]. 99th IEEE Vehicular Technology Conference (VTC 2024-Spring), Singapore, Singapore (7 pages).Article de revue 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.
Communication de conférence Légère, A., Li, L., Rivest, F., & Al Mallah, R. (juillet 2024). Training environments for reinforcement learning cybersecurity agents [Communication écrite]. International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS 2024), Gatineau, QC, Canada (5 pages).
- 2023 (7)
Communication de conférence 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).Article de revue 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).Communication de conférence 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.Communication de conférence 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).Communication de conférence 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).Article de revue 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.Article de revue 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.
- 2022 (2)
Communication de conférence Al Mallah, R., Halabi, T., Alja’Afreh, M., & Karime, A. (octobre 2022). Artificial intelligence for cybersecurity in IoT-enabled avionics: Challenges and solutions [Communication écrite]. 8th IEEE World Forum on Internet of Things (WFIoT 2022), Yokohama, Japan (8 pages).Communication de conférence Al Mallah, R., & López, D. (novembre 2022). Blockchain-based monitoring for poison attack detection in decentralized federated learning [Communication écrite]. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2022), Maldives, Maldives (6 pages).
- 2021 (3)
Article de revue 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.Communication de conférence Al Mallah, R., Badu-Marfo, G., & Farooq, B. (juillet 2021). Cybersecurity threats in connected and automated vehicles based federated learning systems [Communication écrite]. IEEE Intelligent Vehicles Symposium Workshops (IV Workshops 2021), Nagoya, Japan.Article de revue Al Mallah, R., Badu-Marfo, G., & Farooq, B. (2021). On the initial behavior monitoring issues in federated learning. IEEE Access, 9, 161046-161054.
- 2020 (3)
Communication de conférence Al Mallah, R., & Farooq, B. (septembre 2020). Actor-based risk analysis for blockchains in smart mobility [Communication écrite]. 3rd Workshop on Cryptocurrencies and Blockchains for Distributed Systems (CryBlock 2020), London, United Kingdom.Communication de conférence Meshinchi, A., Al Mallah, R., & Quintero, A. (octobre 2020). QoS-aware adaptive resource allocation framework in the integrated SDN transport and IoT [Présentation]. Dans 14th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2020), Nice, France.Communication de conférence Meshinchi, A., Al Mallah, R., & Quintero, A. (octobre 2020). Status-aware and SLA-aware QoS routing model for SDN transport network [Présentation]. Dans 14th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2020), Nice, France.
- 2009 (1)
Article de revue Al Mallah, R., & Quintero, A. (2009). A light-weight service discovery protocol for Ad Hoc networks. Journal of Computer Science, 5(4), 330-337.
