Wahab, Omar Abdel

Deep learning-enabled anomaly detection for IoT systems

Abusitta, A., de Carvalho, G. H. S., Wahab, O. A., Halabi, T., Fung, B. C. M., & Mamoori, S. A. (2023) · Internet of Things

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 184

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

Rjoub, G., Bentahar, J., & Wahab, O. A. (2022) · 2022 International Wireless Communications and Mobile Computing (IWCMC)

Privacy-Preserving Technologies in DataAutonomous Vehicle Technology and Safety

Cited by 44

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

Rjoub, G., Wahab, O. A., Bentahar, J., & Bataineh, A. S. (2021) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 42

How to distribute the detection load among virtual machines to maximize the detection of distributed attacks in the cloud?

Wahab, O. A., Bentahar, J., Otrok, H., & Mourad, A. (2016) · 2016 IEEE International Conference on Services Computing (SCC)

Security and Verification in ComputingNetwork Security and Intrusion Detection

Cited by 19