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Omar Abdel Wahab 0001
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
- 2024
- [j32]Gaith Rjoub
, Omar Abdel Wahab, Jamal Bentahar
Trust-driven reinforcement selection strategy for federated learning on IoT devices. Computing 106(4): 1273-1295 (2024) - [j31]Gaith Rjoub, Omar Abdel Wahab, Jamal Bentahar
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection. Inf. Syst. Frontiers 26(4): 1261-1278 (2024) - [j30]Hanan Suwi
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) - [i8]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) - 2023
- [j29]Adel Abusitta
Deep learning-enabled anomaly detection for IoT systems. Internet Things 21: 100656 (2023) - [j28]Sarhad Arisdakessian, Omar Abdel Wahab
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
FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices. IEEE Internet Things J. 10(23): 20884-20898 (2023) - [j26]Gaith Rjoub
A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Trans. Netw. Serv. Manag. 20(4): 5115-5140 (2023) - [j25]Sarhad Arisdakessian, Omar Abdel Wahab
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 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
Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning. IWCMC 2023: 524-529 - [c20]Osama Wehbi
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
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
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
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
One-Shot Federated Learning-based Model-Free Reinforcement Learning. DBB 2022: 39-52 - [c18]Osama Wehbi
Towards Bilateral Client Selection in Federated Learning Using Matching Game Theory. GLOBECOM 2022: 1-6 - [c17]Gaith Rjoub, Jamal Bentahar
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
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
Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurr. Comput. Pract. Exp. 33(23) (2021) - [j19]Azzam Mourad
Ad Hoc Vehicular Fog Enabling Cooperative Low-Latency Intrusion Detection. IEEE Internet Things J. 8(2): 829-843 (2021) - [j18]Omar Abdel Wahab
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
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
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
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
Cloud federation formation using genetic and evolutionary game theoretical models. Future Gener. Comput. Syst. 104: 92-104 (2020) - [j15]Cédric St-Onge
Detection of time series patterns and periodicity of cloud computing workloads. Future Gener. Comput. Syst. 109: 249-261 (2020) - [j14]Gaith Rjoub, Jamal Bentahar
BigTrustScheduling: Trust-aware big data task scheduling approach in cloud computing environments. Future Gener. Comput. Syst. 110: 1079-1097 (2020) - [j13]Omar Abdel Wahab
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
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
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
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
A Trust and Energy-Aware Double Deep Reinforcement Learning Scheduling Strategy for Federated Learning on IoT Devices. ICSOC 2020: 319-333 - [c9]Talal Halabi
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
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
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
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
On the Effects of User Ratings on the Profitability of Cloud Services. ICWS 2017: 1-8 - [c5]Omar Abdel Wahab
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
A Stackelberg game for distributed formation of business-driven services communities. Expert Syst. Appl. 45: 359-372 (2016) - [j5]Omar Abdel Wahab
CEAP: SVM-based intelligent detection model for clustered vehicular ad hoc networks. Expert Syst. Appl. 50: 40-54 (2016) - [c4]Omar Abdel Wahab
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
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
Misbehavior Detection Framework for Community-Based Cloud Computing. FiCloud 2015: 181-188 - [c2]Amjad El Khatib, Azzam Mourad
A Cooperative Detection Model Based on Artificial Neural Network for VANET QoS-OLSR Protocol. ICUWB 2015: 1-5 - 2014
- [j3]Omar Abdel Wahab
A cooperative watchdog model based on Dempster-Shafer for detecting misbehaving vehicles. Comput. Commun. 41: 43-54 (2014) - [j2]Omar Abdel Wahab
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
DARM: a privacy-preserving approach for distributed association rules mining on horizontally-partitioned data. IDEAS 2014: 1-8 - 2013
- [j1]Omar Abdel Wahab
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 2024-10-07 22:22 CEST by the dblp team
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