Omar Abdel Wahab

According to our database, Omar Abdel Wahab authored at least 60 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh

Inf. Syst. Frontiers, August, 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., July, 2024

Trust-driven reinforcement selection strategy for federated learning on IoT devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Computing, April, 2024

Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities.

Osama Wehbi, Sarhad Arisdakessian, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Bassem Ouni

CoRR, 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, Rabeb Mizouni, Jamal Bentahar, Chamseddine Talhi, Zbigniew Dziong, Ernesto Damiani, Mohsen Guizani

IEEE Commun. Surv. Tutorials, 2024

2023

A Survey on Explainable Artificial Intelligence for Cybersecurity.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad

IEEE Trans. Netw. Serv. Manag., December, 2023

Deep learning-enabled anomaly detection for IoT systems.

Adel Abusitta, Glaucio H. S. Carvalho, Omar Abdel Wahab, Talal Halabi, Benjamin C. M. Fung, Saja Al-Mamoori

Internet Things, April, 2023

A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions.

Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Mohsen Guizani

IEEE Internet Things J., March, 2023

Coalitional Federated Learning: Improving Communication and Training on Non-IID Data With Selfish Clients.

Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok

IEEE Trans. Serv. Comput., 2023

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani

IEEE Internet Things J., 2023

A Survey on Explainable Artificial Intelligence for Network Cybersecurity.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad

CoRR, 2023

Towards Mutual Trust-Based Matching For Federated Learning Client Selection.

Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Mohsen Guizani

Proceedings of the International Wireless Communications and Mobile Computing, 2023

Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Proceedings of the International Wireless Communications and Mobile Computing, 2023

Towards Instant Clustering Approach for Federated Learning Client Selection.

Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok

Proceedings of the International Conference on Computing, Networking and Communications, 2023

A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning.

Omar Abdel Wahab, Anderson Avila

Proceedings of the IEEE International Conference on Big Data, 2023

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, Gaith Rjoub, May El Barachi

IEEE Trans. Netw. Serv. Manag., 2022

Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems.

Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen

Inf. Sci., 2022

Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach.

Omar Abdel Wahab

IEEE Internet Things J., 2022

Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Machine Learning Based Container Placement in On-Demand Clustered Fogs.

Peter Farhat, Sarhad Arisdakessian, Omar Abdul Wahab, Azzam Mourad, Hakima Ould-Slimane

Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory.

Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad

Proceedings of the IEEE Global Communications Conference, 2022

One-Shot Federated Learning-based Model-Free Reinforcement Learning.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel

Proceedings of the International Conference on Deep Learning, 2022

2021

Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game.

Talal Halabi, Omar Abdel Wahab, Ranwa Al Mallah, Mohammad Zulkernine

IEEE Trans. Reliab., 2021

Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

IEEE Trans. Dependable Secur. Comput., 2021

Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection.

Azzam Mourad, Hanine Tout, Omar Abdel Wahab, Hadi Otrok, Toufic Dbouk

IEEE Internet Things J., 2021

Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages.

Omar Abdel Wahab, Ali Mustafa, André Bertrand Abisseck Bamatakina

CoRR, 2021

Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Concurr. Comput. Pract. Exp., 2021

Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems.

Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Tarik Taleb

IEEE Commun. Surv. Tutorials, 2021

Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Mobile Web and Intelligent Information Systems, 2021

VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping.

Adel Abusitta, Omar Abdel Wahab, Benjamin C. M. Fung

Proceedings of the International Joint Conference on Neural Networks, 2021

Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game.

Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

IEEE Trans. Serv. Comput., 2020

FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory.

Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Nadjia Kara

IEEE/ACM Trans. Netw., 2020

MuSC: A multi-stage service chains embedding approach.

Imane El Mensoum, Omar Abdul Wahab, Nadjia Kara, Claes Edstrom

J. Netw. Comput. Appl., 2020

An endorsement-based trust bootstrapping approach for newcomer cloud services.

Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub

Inf. Sci., 2020

Detection of time series patterns and periodicity of cloud computing workloads.

Cédric St-Onge, Nadjia Kara, Omar Abdel Wahab, Claes Edstrom, Yves Lemieux

Future Gener. Comput. Syst., 2020

BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab

Future Gener. Comput. Syst., 2020

Cloud federation formation using genetic and evolutionary game theoretical models.

Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Haidar Harmanani

Future Gener. Comput. Syst., 2020

A two-level solution to fight against dishonest opinions in recommendation-based trust systems.

Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Hadi Otrok, Azzam Mourad

CoRR, 2020

A Game-Theoretic Approach for Distributed Attack Mitigation in Intelligent Transportation Systems.

Talal Halabi, Omar Abdel Wahab, Mohammad Zulkernine

Proceedings of the NOMS 2020, 2020

A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices.

Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh

Proceedings of the Service-Oriented Computing - 18th International Conference, 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, Rabeb Mizouni, Gaith Rjoub

Proceedings of the Service-Oriented Computing - 18th International Conference, 2020

Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems.

Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

MAPLE: A <i>M</i>achine <i>L</i>earning Approach for <i>E</i>fficient <i>P</i>lacement and <i>A</i>djustment of Virtual Network Functions.

Omar Abdel Wahab, Nadjia Kara, Claes Edstrom, Yves Lemieux

J. Netw. Comput. Appl., 2019

On the Detection of Passive Malicious Providers in Cloud Federations.

Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, Jamal Bentahar

IEEE Commun. Lett., 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

Proceedings of the 2019 IEEE Latin-American Conference on Communications, 2019

Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud.

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh

Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019

2018

Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

IEEE Trans. Serv. Comput., 2018

2017

I Know You Are Watching Me: Stackelberg-Based Adaptive Intrusion Detection Strategy for Insider Attacks in the Cloud.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

On the Effects of User Ratings on the Profitability of Cloud Services.

Mona Taghavi, Jamal Bentahar, Hadi Otrok, Omar Abdel Wahab, Azzam Mourad

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks.

Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Jamal Bentahar

Expert Syst. Appl., 2016

A Stackelberg game for distributed formation of business-driven services communities.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Expert Syst. Appl., 2016

How to Distribute the Detection Load among Virtual Machines to Maximize the Detection of Distributed Attacks in the Cloud?

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

A survey on trust and reputation models for Web services: Single, composite, and communities.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Decis. Support Syst., 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, Jamal Bentahar

Proceedings of the IEEE International Conference on Ubiquitous Wireless Broadband, 2015

Misbehavior Detection Framework for Community-Based Cloud Computing.

Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad

Proceedings of the 3rd International Conference on Future Internet of Things and Cloud, 2015

2014

A Dempster-Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol.

Omar Abdel Wahab, Hadi Otrok, Azzam Mourad

Wirel. Pers. Commun., 2014

A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles.

Omar Abdel Wahab, Hadi Otrok, Azzam Mourad

Comput. Commun., 2014

<i>DARM</i>: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data.

Omar Abdel Wahab, Moulay Omar Hachami, Arslan Zaffari, Mery Vivas, Gaby G. Dagher

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

2013

VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks.

Omar Abdel Wahab, Hadi Otrok, Azzam Mourad

Comput. Commun., 2013