Sustainable and Robust Federated Learning for Cyber Threat Detection in 5G Networks
Applications are invited for a self-funded, 3-year full-time or 6-year part-time PhD project.
The work on this project will:
Exploration and application of advanced techniques for preprocessing, includes investigating strategies to collect data and preprocessing 5G network data
Comprehensive investigation, analysis, and design of Federated Learning Approaches and Algorithms
Designing approaches that enhance the efficiency, adaptability, robustness, and sustainability of federated learning models, ensuring optimal performance in cyber threat detection.
Simulation, evaluation, and validation of the developed models. The focus extends to real-world datasets, particularly within the realm of cybersecurity.
Please refer to the link here for more information.Â
You can to contact Dr Rahim Taheri ( rahim.taheri@port.ac.uk ) to discuss your interest before you apply.