Mohamed, Amr

A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 1,392

Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

Shakeri, R., Al-Garadi, M. A., Badawy, A., Mohamed, A., Khattab, T., Al-Ali, A. K., Harras, K. A., & Guizani, M. (2019) · IEEE Communications Surveys & Tutorials

UAV Applications and OptimizationDistributed Control Multi-Agent Systems

Cited by 295

Multimodal Deep Learning Approach for Joint EEG-EMG Data Compression and Classification

Ben Said, A., Mohamed, A., Elfouly, T., Harras, K., & Wang, Z. J. (2017) · 2017 IEEE Wireless Communications and Networking Conference (WCNC)

Emotion and Mood RecognitionAdvanced Data Compression Techniques

Cited by 86

A novel deep learning strategy for classifying different attack patterns for deep brain implants

Rathore, H., Al-Ali, A. K., Mohamed, A., Du, X., & Guizani, M. (2019) · IEEE Access

Deep Brain Stimulation and Movement DisordersAdversarial Robustness in Machine Learning

Cited by 65

Traffic Analysis Attacks on Tor: A Survey

Basyoni, L., Fetais, N., Erbad, A., Mohamed, A., & Guizani, M. (2020) · 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

Internet Traffic Analysis and Secure E-votingPrivacy, Security, and Data Protection

Cited by 54

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data

Abdellatif, A. A., Mhaisen, N., Mohamed, A., Erbad, A., Guizani, M., Dawy, Z., & Nasreddine, W. (2022) · Future Generation Computer Systems

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 4