GAIL-PT: A Generic Intelligent Penetration Testing Framework with Generative Adversarial Imitation Learning

1 code implementation • 5 Apr 2022 • Jinyin Chen, Shulong Hu, Haibin Zheng, Changyou Xing, Guomin Zhang

Addressing the challenges, for the first time, we introduce expert knowledge to guide the agent to make better decisions in RL-based PT and propose a Generative Adversarial Imitation Learning-based generic intelligent Penetration testing framework, denoted as GAIL-PT, to solve the problems of higher labor costs due to the involvement of security experts and high-dimensional discrete action space.

Imitation Learning Q-Learning