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.
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Abdul Wahab, Omar
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Abdul Wahab, Omar
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Article de revue (30)
Communication de conférence (23)
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Chapitre de livre (1)
Brevet (1)
Rapport (1)
Thèse (2)
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Omar Abdul Wahab (58)
- Articles de revue (30)
- 2023
Article de revue Article de revue 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.Article de revue 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).Article de revue 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.
- 2022
Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.Article de revue Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2022). Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing.
- 2021
Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.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.
- 2020
Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.Article de revue 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.
- 2019
Article de revue 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.Article de revue 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.
- 2018
Article de revue 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.
- 2016
Article de revue 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.Article de revue 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.
- 2015
Article de revue 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.
- 2014
Article de revue 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.Article de revue 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.
- 2013
Article de revue 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.
- 2023
- Communications de conférence (23)
- 2024
Communication de conférence Abdul Wahab, O. (novembre 2024). Dynamic Threat Intelligence Coalitions for Improved Cyber Defense Capabilities [Communication écrite]. IEEE 13th International Conference on Cloud Networking (CloudNet 2024), Rio de Janeiro, Brazil.Communication de conférence Simão, M., Prado, F., Abdul Wahab, O., & Avila, A. (décembre 2024). TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models [Communication écrite]. IEEE International Workshop on Information Forensics and Security (WIFS 2024), Rome, Italy.
- 2023
Communication de conférence Abdul Wahab, O. (décembre 2023). A max-min security game for coordinated backdoor attacks on federated learning [Communication écrite]. IEEE International Conference on Big Data (BigData 2023), Sorrento, Italy.Communication de conférence Rjoub, G., Bentahar, J., & Abdul Wahab, O. (juin 2023). Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning [Communication écrite]. International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco.Communication de conférence Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Otrok, H. (février 2023). Towards Instant Clustering Approach for Federated Learning Client Selection [Communication écrite]. International Conference on Computing, Networking and Communications (ICNC 2023), Honolulu, HI, USA.Communication de conférence Wehbi, O., Abdul Wahab, O., Mourad, A., Otrok, H., Alkhzaimi, H., & Guizani, M. (juin 2023). Towards Mutual Trust-Based Matching For Federated Learning Client Selection [Communication écrite]. 2023 International Wireless Communications and Mobile Computing (IWCMC 2023), Marrakesh, Morocco.
- 2022
Communication de conférence Farhat, P., Arisdakessian, S., Abdul Wahab, O., Mourad, A., & Ould-Slimane, H. (mai 2022). Machine learning based container placement in on-demand clustered fogs [Communication écrite]. International Wireless Communications and Mobile Computing (IWCMC 2022), Dubrovnik, Croatia.
- 2021
Communication de conférence 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.Communication de conférence Abijaude, J. W., Santiago, L., de Lima Sobreira, P., Abdul Wahab, O., & Greve, F. (juillet 2021). IoTCocoa - an IoT platform to assist gourmet cocoa production [Communication écrite]. IEEE Latin-American Conference on Communications (LATINCOM 2019), Shenzhen, China.Communication de conférence 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).
Communication de conférence 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).
- 2020
Communication de conférence Bataineh, A. S., Bentahar, J., Abdul Wahab, O., Mizouni, R., & Rjoub, G. (décembre 2020). A game-based secure trading of big data and IoT services: blockchain as a two-sided market [Communication écrite]. Service-Oriented Computing, Dubai, United Arab Emirates.Communication de conférence Halabi, T., Abdul Wahab, O., & Zulkernine, M. (avril 2020). A game-theoretic approach for distributed attack mitigation in intelligent transportation systems [Communication écrite]. IEEE/IFIP Network Operations and Management Symposium (NOMS 2020), Budapest, Hungary.Communication de conférence Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (décembre 2020). A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices [Communication écrite]. Service-Oriented Computing, Dubai, United Arab Emirates.Communication de conférence Abusitta, A., Aïmeur, E., & Abdul Wahab, O. (août 2020). Generative adversarial networks for mitigating biases in machine learning systems [Communication écrite]. 24th European Conference on Artificial Intelligence (ECAI 2019), Santiago de Compostela, Spain (11 pages).
- 2019
Communication de conférence Rjoub, G., Bentahar, J., Abdul Wahab, O., & Bataineh, A. (août 2019). Deep smart scheduling: A deep learning approach for automated big data scheduling over the cloud [Communication écrite]. 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019), Istanbul, Turkey.
- 2017
Communication de conférence Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (juin 2017). I know you are watching me: Stackelberg-based adaptive intrusion detection strategy for insider attacks in the cloud [Communication écrite]. IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA.Communication de conférence Taghavi, M., Bentahar, J., Otrok, H., Abdul Wahab, O., & Mourad, A. (juin 2017). On the effects of user ratings on the profitability of cloud services [Communication écrite]. IEEE International Conference on Web Services (ICWS 2017), Honolulu, HI, USA (8 pages).
- 2016
Communication de conférence Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (juin 2016). How to distribute the detection load among virtual machines to maximize the detection of distributed attacks in the cloud? [Communication écrite]. IEEE International Conference on Services Computing (SCC 2016), San Francisco, CA, USA.
- 2015
Communication de conférence El Khatib, A., Mourad, A., Otrok, H., Abdul Wahab, O., & Bentahar, J. (octobre 2015). A cooperative detection model based on artificial neural network for VANET QoS-OLSR protocol [Communication écrite]. IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB 2015), Montreal, QC, Canada.Communication de conférence Abdul Wahab, O., Bentahar, J., Otrok, H., & Mourad, A. (août 2015). Misbehavior detection framework for community-based cloud computing [Communication écrite]. 3rd International Conference on Future Internet of Things and Cloud (FiCloud 2015), Rome, Italy.Communication de conférence Abdul Wahab, O. (novembre 2015). Towards business-oriented services communities: A Stackelberg game theoretical model [Communication écrite]. LABEX CIMI Pluridisciplinary Workshop on Game Theory, Université Toulouse 3 – Paul Sabatier, Toulouse, France.
- 2014
Communication de conférence Abdul Wahab, O., Hachami, M. O., Zaffari, A., Vivas, M., & Dagher, G. G. (juillet 2014). DARM: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data [Communication écrite]. Proceedings of the 18th International Database Engineering & Applications Symposium, Porto, Portugal.
- 2024
- Chapitres de livre (1)
- 2022
Chapitre de livre Abdul Wahab, O. (2022). An optimized K-means clustering approach on top of MapReduce. Dans Peter, J. D., Fernandes, S. L., & Alavi, A. H. (édit.), Disruptive Technologies for Big Data and Cloud Applications (Vol. 905, p. 19-25).
- 2022
- Brevets (1)
- 2021
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).
- 2021
- Rapports (1)
- 2020
Rapport Abusitta, A., Abdul Wahab, O., & Halabi, T. (2020). Deep learning for proactive cooperative malware detection system. (Rapport n° G-2020-23 EIW12).
- 2020
- Thèses (2)
- 2018
Thèse Abdul Wahab, O. (2018). Game-theoretic foundations for forming trusted coalitions of multi-cloud services in the presence of active and passive attacks [Thèse de doctorat, Concordia University].
- 2013
Thèse Abdul Wahab, O. (2013). Cooperative clustering models for vehicular ad hoc networks [Mémoire de maîtrise, Lebanese American University].
- 2018
