 | Monter d'un niveau |
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2021). Resource-aware detection and defense system against multi-type attacks in the cloud: Repeated Bayesian Stackelberg game. IEEE Transactions on Dependable and Secure Computing, 18(2), 605-622. Lien externe
Abdul Wahab, O., Kara N, N., Edstrom, C., & Lemieux, Y. (2021). Machine learning method for adaptive virtual network functions placement and readjustment. (Brevet no US11303722). Lien externe
Abdul Wahab, O., Mourad, A., Otrok, H., & Taleb, T. (2021). Federated machine learning: Survey, multi-level classification, desirable criteria and future directions in communication and networking systems. IEEE Communications Surveys & Tutorials, 23(2), 1342-1397. Lien externe
Abusitta, A., Abdul Wahab, O., & Fung, B. C. M. (juillet 2021). VirtualGAN: Reducing mode collapse in generative adversarial networks using virtual mapping [Communication écrite]. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China (6 pages). Lien externe
Abusitta, A., Halabi, T., & Abdul Wahab, O. (août 2021). ROBUST: Deep learning for malware detection under changing environments [Communication écrite]. 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI 2021), Montréal, Qc, Canada (13 pages). Lien externe
Halabi, T., Abdul Wahab, O., Al Mallah, R., & Zulkernine, M. (2021). Protecting the internet of vehicles against advanced persistent threats: A Bayesian Stackelberg game. IEEE Transactions on Reliability, 70(3), 970-985. Lien externe
Mourad, A., Tout, H., Abdul Wahab, O., Otrok, H., & Dbouk, T. (2021). Ad hoc vehicular fog enabling cooperative low-latency intrusion detection. IEEE Internet of Things Journal, 8(2), 829-843. Lien externe
Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. S. (août 2021). Improving autonomous vehicles safety in snow weather using federated YOLO CNN learning [Communication écrite]. 17th International Conference on Mobile Web and Intelligent Information Systems. Non disponible
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. Lien externe
