VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks. - Omar Abdel Wahab 001; Hadi Otrok; Azzam Mourad (Comput. Commun., 2013)

DARM: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data. - Omar Abdel Wahab 001; Moulay Omar Hachami; Arslan Zaffari; Mery Vivas; Gaby G. Dagher (IDEAS, 2014)

A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles. - Omar Abdel Wahab 001; Hadi Otrok; Azzam Mourad (Comput. Commun., 2014)

A Dempster-Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol. - Omar Abdel Wahab 001; Hadi Otrok; Azzam Mourad (Wirel. Pers. Commun., 2014)

Misbehavior Detection Framework for Community-Based Cloud Computing. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (FiCloud, 2015)

A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. - Amjad El Khatib; Azzam Mourad; Hadi Otrok; Omar Abdel Wahab 001; Jamal Bentahar (ICUWB, 2015)

A survey on trust and reputation models for Web services: Single, composite, and communities. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (Decis. Support Syst., 2015)

How to Distribute the Detection Load among Virtual Machines to Maximize the Detection of Distributed Attacks in the Cloud? - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (SCC, 2016)

A Stackelberg game for distributed formation of business-driven services communities. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (Expert Syst. Appl., 2016)

CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks. - Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Jamal Bentahar (Expert Syst. Appl., 2016)

On the Effects of User Ratings on the Profitability of Cloud Services. - Mona Taghavi; Jamal Bentahar; Hadi Otrok; Omar Abdel Wahab 001; Azzam Mourad (ICWS, 2017)

I Know You Are Watching Me: Stackelberg-Based Adaptive Intrusion Detection Strategy for Insider Attacks in the Cloud. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (ICWS, 2017)

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (IEEE Trans. Serv. Comput., 2018)

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Ahmed Saleh Bataineh (FiCloud, 2019)

IoTCocoa - an IoT platform to assist gourmet cocoa production. - Jauberth Weyll Abijaude; Levy Marlon Santiago; Péricles de Lima Sobreira; Omar Abdul Wahab; Fabíola Greve (LATINCOM, 2019)

On the Detection of Passive Malicious Providers in Cloud Federations. - Ahmad Hammoud; Hadi Otrok; Azzam Mourad; Omar Abdel Wahab 001; Jamal Bentahar (IEEE Commun. Lett., 2019)

MAPLE: A Machine Learning Approach for Efficient Placement and Adjustment of Virtual Network Functions. - Omar Abdel Wahab 001; Nadjia Kara; Claes Edstrom; Yves Lemieux (J. Netw. Comput. Appl., 2019)

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. - Adel Abusitta 001; Esma Aïmeur; Omar Abdel Wahab 001 (ECAI, 2020)

A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. - Ahmed Saleh Bataineh; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Gaith Rjoub (ICSOC, 2020)

A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (ICSOC, 2020)

A Game-Theoretic Approach for Distributed Attack Mitigation in Intelligent Transportation Systems. - Talal Halabi; Omar Abdel Wahab 001; Mohammad Zulkernine (NOMS, 2020)

A two-level solution to fight against dishonest opinions in recommendation-based trust systems. - Omar Abdel Wahab 001; Jamal Bentahar; Robin Cohen; Hadi Otrok; Azzam Mourad (CoRR, 2020)

Cloud federation formation using genetic and evolutionary game theoretical models. - Ahmad Hammoud; Azzam Mourad; Hadi Otrok; Omar Abdel Wahab 001; Haidar Harmanani (Future Gener. Comput. Syst., 2020)

BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (Future Gener. Comput. Syst., 2020)

Detection of time series patterns and periodicity of cloud computing workloads. - Cédric St-Onge; Nadjia Kara; Omar Abdel Wahab 001; Claes Edstrom; Yves Lemieux (Future Gener. Comput. Syst., 2020)

An endorsement-based trust bootstrapping approach for newcomer cloud services. - Omar Abdel Wahab 001; Robin Cohen; Jamal Bentahar; Hadi Otrok; Azzam Mourad; Gaith Rjoub (Inf. Sci., 2020)

MuSC: A multi-stage service chains embedding approach. - Imane El Mensoum; Omar Abdul Wahab; Nadjia Kara; Claes Edstrom (J. Netw. Comput. Appl., 2020)

FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Nadjia Kara (IEEE/ACM Trans. Netw., 2020)

Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (IEEE Trans. Serv. Comput., 2020)

Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. - Ahmed Saleh Bataineh; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Gaith Rjoub (SCC, 2021)

VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping. - Adel Abusitta 001; Omar Abdel Wahab 001; Benjamin C. M. Fung (IJCNN, 2021)

Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (MobiWIS, 2021)

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems. - Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Tarik Taleb (IEEE Commun. Surv. Tutorials, 2021)

Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Ahmed Saleh Bataineh (Concurr. Comput. Pract. Exp., 2021)

Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages. - Omar Abdel Wahab 001; Ali Mustafa; André Bertrand Abisseck Bamatakina (CoRR, 2021)

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection. - Azzam Mourad; Hanine Tout; Omar Abdel Wahab 001; Hadi Otrok; Toufic Dbouk (IEEE Internet Things J., 2021)

Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game. - Omar Abdel Wahab 001; Jamal Bentahar; Hadi Otrok; Azzam Mourad (IEEE Trans. Dependable Secur. Comput., 2021)

Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game. - Talal Halabi; Omar Abdel Wahab 001; Ranwa Al Mallah; Mohammad Zulkernine (IEEE Trans. Reliab., 2021)

One-Shot Federated Learning-based Model-Free Reinforcement Learning. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Nagat Drawel (DBB, 2022)

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad (GLOBECOM, 2022)

Machine Learning Based Container Placement in On-Demand Clustered Fogs. - Peter Farhat; Sarhad Arisdakessian; Omar Abdul Wahab; Azzam Mourad; Hakima Ould-Slimane (IWCMC, 2022)

Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (IWCMC, 2022)

Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach. - Omar Abdel Wahab 001 (IEEE Internet Things J., 2022)

Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. - Omar Abdel Wahab 001; Gaith Rjoub; Jamal Bentahar; Robin Cohen (Inf. Sci., 2022)

Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. - Ahmed Saleh Bataineh; Jamal Bentahar; Rabeb Mizouni; Omar Abdel Wahab 001; Gaith Rjoub; May El Barachi (IEEE Trans. Netw. Serv. Manag., 2022)

A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning. - Omar Abdel Wahab 001; Anderson R. Avila (IEEE Big Data, 2023)

Towards Instant Clustering Approach for Federated Learning Client Selection. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok (ICNC, 2023)

Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001 (IWCMC, 2023)

Towards Mutual Trust-Based Matching For Federated Learning Client Selection. - Osama Wehbi; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Mohsen Guizani (IWCMC, 2023)

A Survey on Explainable Artificial Intelligence for Network Cybersecurity. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Alyssa Song; Robin Cohen; Hadi Otrok; Azzam Mourad (CoRR, 2023)

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. - Osama Wehbi; Sarhad Arisdakessian; Omar Abdel Wahab 001; Hadi Otrok; Safa Otoum; Azzam Mourad; Mohsen Guizani (IEEE Internet Things J., 2023)

Coalitional Federated Learning: Improving Communication and Training on Non-IID Data With Selfish Clients. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok (IEEE Trans. Serv. Comput., 2023)

A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions. - Sarhad Arisdakessian; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Mohsen Guizani (IEEE Internet Things J., 2023)

Deep learning-enabled anomaly detection for IoT systems. - Adel Abusitta 001; Glaucio H. S. Carvalho; Omar Abdel Wahab 001; Talal Halabi; Benjamin C. M. Fung; Saja Al-Mamoori (Internet Things, 2023)

A Survey on Explainable Artificial Intelligence for Cybersecurity. - Gaith Rjoub; Jamal Bentahar; Omar Abdel Wahab 001; Rabeb Mizouni; Alyssa Song; Robin Cohen; Hadi Otrok; Azzam Mourad (IEEE Trans. Netw. Serv. Manag., 2023)

Dynamic Threat Intelligence Coalitions for Improved Cyber Defense Capabilities. - Omar Abdel Wahab 001 (CloudNet, 2024)

TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models. - Matheus Simão; Fabiano O. Costa Prado; Omar Abdul Wahab; Anderson R. Avila (WIFS, 2024)

The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. - Hani Sami; Ahmad Hammoud; Mohamad Arafeh; Mohamad Wazzeh; Sarhad Arisdakessian; Mario Chahoud; Osama Wehbi; Mohamad Ajaj; Azzam Mourad; Hadi Otrok; Omar Abdel Wahab 001; Rabeb Mizouni; et al. (IEEE Commun. Surv. Tutorials, 2024)

Trust-driven reinforcement selection strategy for federated learning on IoT devices. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Ahmed Saleh Bataineh (Computing, 2024)

Offline and Real-Time Policy-based Management for Virtualized Services: Conflict and Redundancy Detection, and Automated Resolution. - Hanan Suwi; Nadjia Kara; Omar Abdul Wahab; Claes Edstrom; Yves Lemieux (J. Netw. Syst. Manag., 2024)

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. - Gaith Rjoub; Omar Abdel Wahab 001; Jamal Bentahar; Robin Cohen; Ahmed Saleh Bataineh (Inf. Syst. Frontiers, 2024)

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. - Osama Wehbi; Sarhad Arisdakessian; Mohsen Guizani; Omar Abdel Wahab 001; Azzam Mourad; Hadi Otrok; Hoda Alkhzaimi; Bassem Ouni (IEEE Internet Things J., 2025)