Documents dont l'auteur est "Abdul Wahab, Omar"

Monter d'un niveau

Omar Abdul WahabDépartement de génie informatique et génie logiciel

Voir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

Grouper par: Auteurs ou autrices | Date de publication | Sous-type de document | Aucun groupement

Nombre de documents: 56

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. Lien externe

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. Lien externe

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). Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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). Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2022). Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing. 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

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

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

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

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

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

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

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

Abusitta, A., Abdul Wahab, O., & Halabi, T. (2020). Deep learning for proactive cooperative malware detection system. (Rapport n° G-2020-23 EIW12). Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Non disponible

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. Lien externe

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. Lien externe

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. Lien externe

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. Non disponible

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. Lien externe

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). Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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]. Lien externe

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. Lien externe

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. Lien externe

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). Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Lien externe

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. Non disponible

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. Lien externe

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. Lien externe

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. Lien externe

Abdul Wahab, O. (2013). Cooperative clustering models for vehicular ad hoc networks [Mémoire de maîtrise, Lebanese American University]. Non disponible

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. Lien externe

Liste produite: Fri Nov 22 04:12:37 2024 EST.

Pour citer ou exporter	Atom RSS 1.0 RSS 2.0

Documents dont l'auteur est "Abdul Wahab, Omar"

Aide