Mourad, Azzam

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Abdulrahman, S., Tout, H., Ould-Slimane, H., Mourad, A., Talhi, C., & Guizani, M. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 796

Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?

Rahman, S. A., Tout, H., Talhi, C., & Mourad, A. (2020) · IEEE Network

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 414

A survey on explainable artificial intelligence for cybersecurity

Rjoub, G., Bentahar, J., Abdel Wahab, O., Mizouni, R., Song, A., Cohen, R., Otrok, H., & Mourad, A. (2023) · IEEE Transactions on Network and Service Management

Explainable Artificial Intelligence (XAI)Network Security and Intrusion Detection

Cited by 158

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., Adnan, W., Alhanai, T., AlShebli, B., Baghdadi, R., et al. (2023) · Scientific Reports

Academic integrity and plagiarismArtificial Intelligence in Education

Cited by 154

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