Tariq, Muhammad

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

Ali, M., Naeem, F., Tariq, M., & Kaddoum, G. (2023) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataInternet of Things and AI

Cited by 366

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Zhou, Z., Jia, Z., Liao, H., Lu, W., Mumtaz, S., Guizani, M., & Tariq, M. (2022) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingSmart Grid Energy Management

Cited by 169

Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems

Tariq, M., Ali, M., Naeem, F., & Poor, H. V. (2021) · IEEE Internet of Things Journal

Smart Grid Security and ResiliencePower System Optimization and Stability

Cited by 116

SDN-Enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things

Naeem, F., Tariq, M., & Poor, H. V. (2021) · IEEE Transactions on Industrial Informatics

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 83

Experience-Driven Attack Design and Federated-Learning-Based Intrusion Detection in Industry 4.0

Tahir, B., Jolfaei, A., & Tariq, M. (2022) · IEEE Transactions on Industrial Informatics

Smart Grid Security and ResilienceNetwork Security and Intrusion Detection

Cited by 47

Preventing Cascading Failure Through Fuzzy Co-Operative Control Mechanism Using V2G

Adnan, M., Ali, M., Basalamah, A., & Tariq, M. (2019) · IEEE Access

Power System Optimization and StabilityOptimal Power Flow Distribution

Cited by 30