Autopentest-drl Official

Despite progress, AutoPentest-DRL is not ready for autonomous deployment on unknown critical infrastructure. Three showstopper problems persist:

: Enhancing Capture-the-Flag (CTF) exercises by providing an automated, "smart" adversary that students can defend against. autopentest-drl

: This paper details how the framework utilizes Deep Q-Learning (DQN) to automate the penetration testing process. It specifically addresses the challenges of scalability and the high dimensionality of action spaces in network security. autopentest-drl

A representation of the current knowledge of the target network. Each state includes: autopentest-drl