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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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., 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
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
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
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
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 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
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
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
Sami, H., Hammoud, A., Arafeh, M., Wazzeh, M., Arisdakessian, S., Chahoud, M., Wehbi, O., Ajaj, M., Mourad, A., Otrok, H., Wahab, O. A., Mizouni, R., Bentahar, J., Talhi, C., Dziong, Z., Damiani, E., & Guizani, M. (2024). The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Communications Surveys and Tutorials, 3392642 (49 pages). 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
