Deep Bayesian Hierarchical Reinforcement Learning for Autonomous Penetration Testing

Project Member(s): Lin, C.

Funding or Partner Organisation: NSW Department of Industry (NSW Defence Innovation Network)
NSW Department of Industry (NSW Defence Innovation Network)

Start year: 2020

Summary: This project aims to develop an intelligent and dynamic sequential decision-making model using Deep Bayesian Reinforcement Learning to perform autonomous penetration testing. The challenges that the project sets out to address include dynamic and large action space, stochasticity in the action success and the partial observability nature of the problem.

FOR Codes: Computer System Security, Intelligence, System and network security, Intelligence, surveillance and space