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Abdul Wahab, O., Rjoub, G., Bentahar, J., & Cohen, R. (2022). Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Information Sciences, 601, 189-206. External link
Abdul Wahab, O., Cohen, R., Bentahar, J., Otrok, H., Mourad, A., & Rjoub, G. (2020). An endorsement-based trust bootstrapping approach for newcomer cloud services. Information Sciences, 527, 159-175. External link
Abdul Wahab, O., Mourad, A., Otrok, H., & Bentahar, J. (2016). CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks. Expert Systems With Applications, 50, 40-54. External link
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2016). A Stackelberg game for distributed formation of business-driven services communities. Expert Systems With Applications, 45, 359-372. External link
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2015). A survey on trust and reputation models for Web services: Single, composite, and communities. Decision Support Systems, 74, 121-134. External link
Bataineh, A. S., Bentahar, J., Abdul Wahab, O., Mizouni, R., & Rjoub, G. (2020, December). A game-based secure trading of big data and IoT services: blockchain as a two-sided market [Paper]. Service-Oriented Computing, Dubai, United Arab Emirates. Unavailable
Rjoub, G., Bentahar, J., & Abdul Wahab, O. Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning [Paper]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. External link
Rjoub, G., Bentahar, J., Abdul Wahab, O., Mizouni, R., Song, A., Cohen, R., Otrok, H., & Mourad, A. (2023). A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Transactions on Network and Service Management, 34 pages. External link
Rjoub, G., Abdul Wahab, O., Bentahar, J., Cohen, R., & Bataineh, A. S. (2022). Trust-augmented deep reinforcement learning for federated learning client selection. Information Systems Frontiers. External link
Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2022). Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing. External link
Rjoub, G., Bentahar, J., Abdul Wahab, O., & Saleh Bataineh, A. (2021). Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurrency and Computation: Practice and Experience, 33(23), e5919-e5919. External link
Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. S. (2021, August). Improving autonomous vehicles safety in snow weather using federated YOLO CNN learning [Paper]. 17th International Conference on Mobile Web and Intelligent Information Systems. Unavailable
Rjoub, G., Bentahar, J., & Abdul Wahab, O. (2020). BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Generation Computer Systems, 110, 1079-1097. External link
Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2020, December). A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices [Paper]. Service-Oriented Computing, Dubai, United Arab Emirates. Unavailable
