Deep Learning Models to Support Computer Network Defence
Supervisors
Suitable for
Abstract
This project would explore the application of deep-learning models such as Large Language Models (LLM) to computer network
defence. Deep learning has the potential to improve processes at various defensive stages including identification of assets
and risk analysis; detection and mitigation of attacks; and automated response. The project scope is broad enough to allow
the student to identify an area of interest.