Directory of Experts

Abdul Wahab, Omar

Directory of Experts

Abdul Wahab, Omar

Directory of Experts

Publications by type

Journal article (30) Conference paper (23) Book Book chapter (1) Patent (1) Report (1) Thesis (2) Dataset Teaching resource Image Audio recording Video recording Other

Omar Abdul Wahab (58)

Journal articles (30)
- 2023
  - 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.
  - 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.
  - 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).
  - 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
  - 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.
  - 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.
  - 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.
  - 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.
  - Rjoub, G., Abdul Wahab, O., Bentahar, J., & Bataineh, A. (2022). Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing.
- 2021
  - 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.
  - 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.
  - 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.
  - 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.
  - 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
  - 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.
  - 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.
  - 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.
  - 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.
  - 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.
  - 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.
  - 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
  - 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.
  - 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
  - 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
  - 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.
  - 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
  - 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
  - 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.
  - 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
  - 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.
Conference papers (23)
- 2024
  - Abdul Wahab, O. (2024, November). Dynamic Threat Intelligence Coalitions for Improved Cyber Defense Capabilities [Paper]. IEEE 13th International Conference on Cloud Networking (CloudNet 2024), Rio de Janeiro, Brazil.
  - Simão, M., Prado, F., Abdul Wahab, O., & Avila, A. (2024, December). TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models [Paper]. IEEE International Workshop on Information Forensics and Security (WIFS 2024), Rome, Italy.
- 2023
  - 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.
  - 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.
  - 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.
  - 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.
- 2022
  - 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.
- 2021
  - 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.
  - 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.
  - 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).
  - 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).
- 2020
  - 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.
  - 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.
  - 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.
  - 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).
- 2019
  - 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.
- 2017
  - 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.
  - 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).
- 2016
  - 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.
- 2015
  - 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.
  - 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.
  - 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.
- 2014
  - 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.
Book chapters (1)
- 2022
  - 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).
Patents (1)
- 2021
  - 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).
Reports (1)
- 2020
  - Abusitta, A., Abdul Wahab, O., & Halabi, T. (2020). Deep learning for proactive cooperative malware detection system. (Report n° G-2020-23 EIW12).
Theses (2)
- 2018
  - 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].
- 2013
  - Abdul Wahab, O. (2013). Cooperative clustering models for vehicular ad hoc networks [Master's Thesis, Lebanese American University].

Directory of Experts

Abdul Wahab, Omar

Directory of Experts

Abdul Wahab, Omar

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Omar Abdul Wahab (58)