Documents publiés en "2021"

Article de revue

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., 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

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., 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

Communication écrite

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

Bataineh, A. S., Bentahar, J., Abdul Wahab, O., Mizouni, R., & Rjoub, G. (septembre 2021). Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game [Communication écrite]. International Conference on Services Computing (SCC 2021), Chicago, IL, USA. Lien externe

Dellamycow Gomes Viana, H., de Lima Sobreira, P., Marlon Souza Santiago, L., Weyll Abijaude, J., El Guemhioui, K., Abdul Wahab, O., da Costa Wanderley, V., & Greve, F. (mars 2021). Boosting high school students' learning experience from a block-implemented Internet of Things experimentation [Communication écrite]. World Conference on Engineering Education (EDUNINE 2021), Guatemala City, Guatemala (6 pages). 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. Lien externe

Weyll Abijaude, J., Serra, H., Marlon Souza Santiago, L., de Lima Sobreira, P., El Guemhioui, K., Abdul Wahab, O., da Costa Wanderley, V., & Greve, F. (mars 2021). Introducing Blockchain, Smart Contract and Distributted Application concepts and practices from an extra-curricular university training [Communication écrite]. World Conference on Engineering Education (EDUNINE 2021), Guatemala City, Guatemala (6 pages). Lien externe

Brevet

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