This project aims at studying various treats in the core network and slices of a standalone 5G network architecture and develop security solutions. The Research Fellow (RF) will be responsible to develop techniques such as AI/machine learning , to model the normal behaviours and detect anomalies in 5G core network and slices. The RF will also explore approaches for detecting and mitigating attacks. The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.
Qualifications
Times Higher Education
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