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ORCIDOmar Abdel Wahab 0001
Omar Abdul Wahab
Person information
- affiliation: Polytechnique Montréal, Canada
- affiliation (former): Université du Québec en Outaouais, Gatineau, Canada
Other persons with the same name
- Omar Abdel Wahab 0002 — Memorial Sloan Kettering Cancer Center, New York, NY, USA
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2020 – today
- 2025
[j34]Osama Wehbi, Sarhad Arisdakessian
, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Bassem Ouni:
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. IEEE Internet Things J. 12(3): 3105-3117 (2025)- 2024
- [j33]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing 106(4): 1273-1295 (2024) - [j32]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:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. IEEE Commun. Surv. Tutorials 26(4): 2914-2960 (2024) - [j31]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Ahmed Saleh Bataineh:
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers 26(4): 1261-1278 (2024) - [j30]Hanan Suwi, Nadjia Kara, Omar Abdul Wahab, Claes Edstrom, Yves Lemieux:
Offline and Real-Time Policy-based Management for Virtualized Services: Conflict and Redundancy Detection, and Automated Resolution. J. Netw. Syst. Manag. 32(3): 57 (2024) - [c25]Omar Abdel Wahab:
Dynamic Threat Intelligence Coalitions for Improved Cyber Defense Capabilities. CloudNet 2024: 1-6 - [c24]Matheus Simão, Fabiano O. Costa Prado, Omar Abdul Wahab, Anderson R. Avila:
TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models. WIFS 2024: 1-6 - [i9]Osama Wehbi, Sarhad Arisdakessian, Mohsen Guizani, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Bassem Ouni:
Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities. CoRR abs/2405.00394 (2024) - [i8]Matheus Simão, Fabiano O. Costa Prado, Omar Abdul Wahab, Anderson R. Avila:
TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models. CoRR abs/2411.07224 (2024) - 2023
- [j29]Adel Abusitta, Glaucio H. S. Carvalho, Omar Abdel Wahab, Talal Halabi, Benjamin C. M. Fung, Saja Al-Mamoori:
Deep learning-enabled anomaly detection for IoT systems. Internet Things 21: 100656 (2023) - [j28]Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Mohsen Guizani:
A Survey on IoT Intrusion Detection: Federated Learning, Game Theory, Social Psychology, and Explainable AI as Future Directions. IEEE Internet Things J. 10(5): 4059-4092 (2023) - [j27]Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani:
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. IEEE Internet Things J. 10(23): 20884-20898 (2023) - [j26]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad:
A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. 20(4): 5115-5140 (2023) - [j25]Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok:
Coalitional Federated Learning: Improving Communication and Training on Non-IID Data With Selfish Clients. IEEE Trans. Serv. Comput. 16(4): 2462-2476 (2023) - [c23]Omar Abdel Wahab, Anderson R. Avila:
A Max-Min Security Game for Coordinated Backdoor Attacks on Federated Learning. IEEE Big Data 2023: 3566-3573 - [c22]Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok:
Towards Instant Clustering Approach for Federated Learning Client Selection. ICNC 2023: 409-413 - [c21]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. IWCMC 2023: 524-529 - [c20]Osama Wehbi, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Hoda Alkhzaimi, Mohsen Guizani:
Towards Mutual Trust-Based Matching For Federated Learning Client Selection. IWCMC 2023: 1112-1117 - [i7]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad:
A Survey on Explainable Artificial Intelligence for Network Cybersecurity. CoRR abs/2303.12942 (2023) - [i6]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:
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions. CoRR abs/2304.09240 (2023) - 2022
- [j24]Omar Abdel Wahab:
Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach. IEEE Internet Things J. 9(20): 19706-19716 (2022) - [j23]Omar Abdel Wahab, Gaith Rjoub, Jamal Bentahar, Robin Cohen:
Federated against the cold: A trust-based federated learning approach to counter the cold start problem in recommendation systems. Inf. Sci. 601: 189-206 (2022) - [j22]Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud Computing as a Platform for Monetizing Data Services: A Two-Sided Game Business Model. IEEE Trans. Netw. Serv. Manag. 19(2): 1336-1350 (2022) - [c19]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Nagat Drawel:
One-Shot Federated Learning-based Model-Free Reinforcement Learning. DBB 2022: 39-52 - [c18]Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad:
Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. GLOBECOM 2022: 1-6 - [c17]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
Explainable AI-based Federated Deep Reinforcement Learning for Trusted Autonomous Driving. IWCMC 2022: 318-323 - [c16]Peter Farhat, Sarhad Arisdakessian, Omar Abdul Wahab, Azzam Mourad, Hakima Ould-Slimane:
Machine Learning Based Container Placement in On-Demand Clustered Fogs. IWCMC 2022: 1250-1255 - [i5]Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani:
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices. CoRR abs/2211.01805 (2022) - 2021
- [j21]Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Tarik Taleb:
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems. IEEE Commun. Surv. Tutorials 23(2): 1342-1397 (2021) - [j20]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh:
Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr. Comput. Pract. Exp. 33(23) (2021) - [j19]Azzam Mourad, Hanine Tout, Omar Abdel Wahab, Hadi Otrok, Toufic Dbouk:
Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection. IEEE Internet Things J. 8(2): 829-843 (2021) - [j18]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Resource-Aware Detection and Defense System against Multi-Type Attacks in the Cloud: Repeated Bayesian Stackelberg Game. IEEE Trans. Dependable Secur. Comput. 18(2): 605-622 (2021) - [j17]Talal Halabi, Omar Abdel Wahab, Ranwa Al Mallah, Mohammad Zulkernine:
Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game. IEEE Trans. Reliab. 70(3): 970-985 (2021) - [c15]Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub:
Cloud as platform for monetizing complementary data for AI-driven services: A two-sided cooperative game. SCC 2021: 443-449 - [c14]Adel Abusitta, Omar Abdel Wahab, Benjamin C. M. Fung:
VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping. IJCNN 2021: 1-6 - [c13]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
Improving Autonomous Vehicles Safety in Snow Weather Using Federated YOLO CNN Learning. MobiWIS 2021: 121-134 - [i4]Ahmed Saleh Bataineh, Jamal Bentahar, Rabeb Mizouni, Omar Abdel Wahab, Gaith Rjoub, May El Barachi:
Cloud computing as a platform for monetizing data services: A two-sided game business model. CoRR abs/2104.12762 (2021) - [i3]Omar Abdel Wahab, Ali Mustafa, André Bertrand Abisseck Bamatakina:
Trends, Politics, Sentiments, and Misinformation: Understanding People's Reactions to COVID-19 During its Early Stages. CoRR abs/2106.13385 (2021) - 2020
- [j16]Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Haidar Harmanani:
Cloud federation formation using genetic and evolutionary game theoretical models. Future Gener. Comput. Syst. 104: 92-104 (2020) - [j15]Cédric St-Onge, Nadjia Kara, Omar Abdel Wahab, Claes Edstrom, Yves Lemieux:
Detection of time series patterns and periodicity of cloud computing workloads. Future Gener. Comput. Syst. 109: 249-261 (2020) - [j14]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab:
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Gener. Comput. Syst. 110: 1079-1097 (2020) - [j13]Omar Abdel Wahab, Robin Cohen, Jamal Bentahar, Hadi Otrok, Azzam Mourad, Gaith Rjoub:
An endorsement-based trust bootstrapping approach for newcomer cloud services. Inf. Sci. 527: 159-175 (2020) - [j12]Imane El Mensoum, Omar Abdul Wahab, Nadjia Kara, Claes Edstrom:
MuSC: A multi-stage service chains embedding approach. J. Netw. Comput. Appl. 159: 102593 (2020) - [j11]Sarhad Arisdakessian, Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Nadjia Kara:
FoGMatch: An Intelligent Multi-Criteria IoT-Fog Scheduling Approach Using Game Theory. IEEE/ACM Trans. Netw. 28(4): 1779-1789 (2020) - [j10]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Optimal Load Distribution for the Detection of VM-Based DDoS Attacks in the Cloud. IEEE Trans. Serv. Comput. 13(1): 114-129 (2020) - [c12]Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab:
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. ECAI 2020: 937-944 - [c11]Ahmed Saleh Bataineh, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Gaith Rjoub:
A Game-Based Secure Trading of Big Data and IoT Services: Blockchain as a Two-Sided Market. ICSOC 2020: 85-100 - [c10]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar, Ahmed Saleh Bataineh:
A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. ICSOC 2020: 319-333 - [c9]Talal Halabi, Omar Abdel Wahab, Mohammad Zulkernine:
A Game-Theoretic Approach for Distributed Attack Mitigation in Intelligent Transportation Systems. NOMS 2020: 1-6 - [i2]Omar Abdel Wahab, Jamal Bentahar, Robin Cohen, Hadi Otrok, Azzam Mourad:
A two-level solution to fight against dishonest opinions in recommendation-based trust systems. CoRR abs/2006.04803 (2020)
2010 – 2019
- 2019
- [j9]Ahmad Hammoud, Hadi Otrok, Azzam Mourad, Omar Abdel Wahab, Jamal Bentahar:
On the Detection of Passive Malicious Providers in Cloud Federations. IEEE Commun. Lett. 23(1): 64-67 (2019) - [j8]Omar Abdel Wahab, Nadjia Kara, Claes Edstrom, Yves Lemieux:
MAPLE: A Machine Learning Approach for Efficient Placement and Adjustment of Virtual Network Functions. J. Netw. Comput. Appl. 142: 37-50 (2019) - [c8]Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Ahmed Saleh Bataineh:
Deep Smart Scheduling: A Deep Learning Approach for Automated Big Data Scheduling Over the Cloud. FiCloud 2019: 189-196 - [c7]Jauberth Weyll Abijaude, Levy Marlon Santiago, Péricles de Lima Sobreira, Omar Abdul Wahab, Fabíola Greve:
IoTCocoa - an IoT platform to assist gourmet cocoa production. LATINCOM 2019: 1-6 - [i1]Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab:
Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems. CoRR abs/1905.09972 (2019) - 2018
- [j7]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Towards Trustworthy Multi-Cloud Services Communities: A Trust-Based Hedonic Coalitional Game. IEEE Trans. Serv. Comput. 11(1): 184-201 (2018) - 2017
- [c6]Mona Taghavi, Jamal Bentahar, Hadi Otrok, Omar Abdel Wahab, Azzam Mourad:
On the Effects of User Ratings on the Profitability of Cloud Services. ICWS 2017: 1-8 - [c5]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
I Know You Are Watching Me: Stackelberg-Based Adaptive Intrusion Detection Strategy for Insider Attacks in the Cloud. ICWS 2017: 728-735 - 2016
- [j6]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
A Stackelberg game for distributed formation of business-driven services communities. Expert Syst. Appl. 45: 359-372 (2016) - [j5]Omar Abdel Wahab, Azzam Mourad, Hadi Otrok, Jamal Bentahar:
CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks. Expert Syst. Appl. 50: 40-54 (2016) - [c4]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
How to Distribute the Detection Load among Virtual Machines to Maximize the Detection of Distributed Attacks in the Cloud? SCC 2016: 316-323 - 2015
- [j4]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
A survey on trust and reputation models for Web services: Single, composite, and communities. Decis. Support Syst. 74: 121-134 (2015) - [c3]Omar Abdel Wahab, Jamal Bentahar, Hadi Otrok, Azzam Mourad:
Misbehavior Detection Framework for Community-Based Cloud Computing. FiCloud 2015: 181-188 - [c2]Amjad El Khatib, Azzam Mourad, Hadi Otrok, Omar Abdel Wahab, Jamal Bentahar:
A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. ICUWB 2015: 1-5 - 2014
- [j3]Omar Abdel Wahab, Hadi Otrok, Azzam Mourad:
A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles. Comput. Commun. 41: 43-54 (2014) - [j2]Omar Abdel Wahab, Hadi Otrok, Azzam Mourad:
A Dempster-Shafer Based Tit-for-Tat Strategy to Regulate the Cooperation in VANET Using QoS-OLSR Protocol. Wirel. Pers. Commun. 75(3): 1635-1667 (2014) - [c1]Omar Abdel Wahab, Moulay Omar Hachami, Arslan Zaffari, Mery Vivas, Gaby G. Dagher:
DARM: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data. IDEAS 2014: 1-8 - 2013
- [j1]Omar Abdel Wahab, Hadi Otrok, Azzam Mourad:
VANET QoS-OLSR: QoS-based clustering protocol for Vehicular Ad hoc Networks. Comput. Commun. 36(13): 1422-1435 (2013)
Coauthor Index
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last updated on 2025-02-18 01:19 CET by the dblp team
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