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Omar Abdul WahabDepartment of Computer Engineering and Software Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023). Coalitional Federated Learning: Improving Communication and Training on Non-IID Data with Selfish Clients. IEEE Transactions on Services Computing, 16(4), 2462-2476. External link
Abusitta, A., de Carvalho, G. H. S., Abdul Wahab, O., Halabi, T., Fung, B. C. M., & Al Mamoori, S. (2023). Deep learning-enabled anomaly detection for IoT systems. Internet of Things, 21, 100656 (13 pages). External link
Abdul Wahab, O. (2023, December). A max-min security game for coordinated backdoor attacks on federated learning [Paper]. IEEE International Conference on Big Data (BigData 2023), Sorrento, Italy. External link
Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (2023, February). Towards Instant Clustering Approach for Federated Learning Client Selection [Paper]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA. External link
Abdul Wahab, O. (2022). An optimized K-means clustering approach on top of MapReduce. In Peter, J. D., Fernandes, S. L., & Alavi, A. H. (eds.), Disruptive Technologies for Big Data and Cloud Applications (Vol. 905, pp. 19-25). External link
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. (2022). Intrusion detection in the IoT under data and concept drifts: Online deep learning approach. IEEE Internet of Things Journal, 9(20), 19706-19716. External link
Abusitta, A., Abdul Wahab, O., & Fung, B. C. M. (2021, July). VirtualGAN: Reducing mode collapse in generative adversarial networks using virtual mapping [Paper]. International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, China (6 pages). External link
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. External link
Abdul Wahab, O., Kara N, N., Edstrom, C., & Lemieux, Y. (2021). Machine learning method for adaptive virtual network functions placement and readjustment. (Patent no. US11303722). External link
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. External link
Abusitta, A., Halabi, T., & Abdul Wahab, O. (2021, August). ROBUST: Deep learning for malware detection under changing environments [Paper]. 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AIofAI 2021), Montréal, Qc, Canada (13 pages). External link
Abusitta, A., Abdul Wahab, O., & Halabi, T. (2020). Deep learning for proactive cooperative malware detection system. (Report n° G-2020-23 EIW12). 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
Arisdakessian, S., Abdul Wahab, O., Mourad, A., Otrok, H., & Kara, N. (2020). FoGMatch: An intelligent multi-criteria IoT-fog scheduling approach using game theory. IEEE/ACM Transactions on Networking, 28(4), 1779-1789. External link
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2020). Optimal load distribution for the detection of VM-based DDoS attacks in the cloud. IEEE Transactions on Services Computing, 13(1), 114-129. External link
Abusitta, A., Aïmeur, E., & Abdul Wahab, O. (2020, August). Generative adversarial networks for mitigating biases in machine learning systems [Paper]. 24th European Conference on Artificial Intelligence (ECAI 2019), Santiago de Compostela, Spain (11 pages). External link
Abijaude, J. W., Santiago, L., de Lima Sobreira, P., Abdul Wahab, O., & Greve, F. (2021, July). IoTCocoa - an IoT platform to assist gourmet cocoa production [Paper]. IEEE Latin-American Conference on Communications (LATINCOM 2019), Shenzhen, China. External link
Abdul Wahab, O., Kara, N., Edstrom, C., & Lemieux, Y. (2019). MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions. Journal of Network and Computer Applications, 142, 37-50. External link
Abdul Wahab, O. (2018). Game-theoretic foundations for forming trusted coalitions of multi-cloud services in the presence of active and passive attacks [Ph.D. Thesis, Concordia University]. External link
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2018). Towards trustworthy multi-cloud services communities: A trust-based hedonic coalitional game. IEEE Transactions on Services Computing, 11(1), 184-201. External link
Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (2017, June). I know you are watching me: Stackelberg-based adaptive intrusion detection strategy for insider attacks in the cloud [Paper]. IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA. 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, June). How to distribute the detection load among virtual machines to maximize the detection of distributed attacks in the cloud? [Paper]. IEEE International Conference on Services Computing (SCC 2016), San Francisco, CA, USA. 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, August). Misbehavior detection framework for community-based cloud computing [Paper]. 3rd International Conference on Future Internet of Things and Cloud (FiCloud 2015), Rome, Italy. 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
Abdul Wahab, O. (2015, November). Towards business-oriented services communities: A Stackelberg game theoretical model [Paper]. LABEX CIMI Pluridisciplinary Workshop on Game Theory, Université Toulouse 3 – Paul Sabatier, Toulouse, France. Unavailable
Abdul Wahab, O., Otrok, H., & Mourad, A. (2014). A cooperative watchdog model based on Dempster–Shafer for detecting misbehaving vehicles. Computer Communications, 41, 43-54. External link
Abdul Wahab, O., Hachami, M. O., Zaffari, A., Vivas, M., & Dagher, G. G. (2014, July). DARM: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data [Paper]. Proceedings of the 18th International Database Engineering & Applications Symposium, Porto, Portugal. External link
Abdul Wahab, O., Otrok, H., & Mourad, A. (2014). A Dempster–Shafer based tit-for-tat strategy to regulate the cooperation in VANET using QoS-OLSR protocol. Wireless Personal Communications, 75(3), 1635-1667. External link
Abdul Wahab, O. (2013). Cooperative clustering models for vehicular ad hoc networks [Master's Thesis, Lebanese American University]. Unavailable
Abdul Wahab, O., Otrok, H., & Mourad, A. (2013). VANET QoS-OLSR: QoS-based clustering protocol for vehicular ad hoc networks. Computer Communications, 36(13), 1422-1435. External link
Bataineh, A. S., Bentahar, J., Mizouni, R., Abdul Wahab, O., Rjoub, G., & El Barachi, M. (2022). Cloud computing as a platform for monetizing data services: A two-sided game business model. IEEE Transactions on Network and Service Management, 19(2), 1336-1350. 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
El Mensoum, I., Abdul Wahab, O., Kara, N., & Edstrom, C. (2020). MuSC: A multi-stage service chains embedding approach. Journal of Network and Computer Applications, 159, 102593-102593. External link
El Khatib, A., Mourad, A., Otrok, H., Abdul Wahab, O., & Bentahar, J. (2015, October). A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol [Paper]. IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2015), Montreal, QC, Canada. External link
Farhat, P., Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Ould-Slimane, H. (2022, May). Machine learning based container placement in on-demand clustered fogs [Paper]. International Wireless Communications and Mobile Computing (IWCMC 2022), Dubrovnik, Croatia. External link
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. External link
Hammoud, A., Mourad, A., Otrok, H., Abdul Wahab, O., & Harmanani, H. (2020). Cloud federation formation using genetic and evolutionary game theoretical models. Future Generation Computer Systems, 104, 92-104. External link
Halabi, T., Abdul Wahab, O., & Zulkernine, M. (2020, April). A game-theoretic approach for distributed attack mitigation in intelligent transportation systems [Paper]. IEEE/IFIP Network Operations and Management Symposium (NOMS 2020), Budapest, Hungary. External link
Hammoud, A., Otrok, H., Mourad, A., Abdul Wahab, O., & Bentahar, J. (2019). On the detection of passive malicious providers in cloud federations. IEEE Communications Letters, 23(1), 64-67. External link
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. 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, 20(4), 5115-5140. External link
Rjoub, G., Bentahar, J., & Abdul Wahab, O. (2023, June). Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning [Paper]. International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. 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
Rjoub, G., Bentahar, J., Abdul Wahab, O., & Bataineh, A. (2019, August). Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud [Paper]. 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), Istanbul, Turkey. External link
St-Onge, C., Kara, N., Abdul Wahab, O., Edstrom, C., & Lemieux, Y. (2020). Detection of time series patterns and periodicity of cloud computing workloads. Future Generation Computer Systems, 109, 249-261. External link
Taghavi, M., Bentahar, J., Otrok, H., Abdul Wahab, O., & Mourad, A. (2017, June). On the effects of user ratings on the profitability of cloud services [Paper]. IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA (8 pages). External link
Wehbi, O., Arisdakessian, S., Abdul Wahab, O., Otrok, H., Otoum, S., Mourad, A., & Guizani, M. (2023). FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. IEEE Internet of Things Journal, 15 pages. External link
Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., Alkhzaimi, H., & Guizani, M. (2023, June). Towards Mutual Trust-Based Matching For Federated Learning Client Selection [Paper]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco. External link
