GitHub

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

AutoPentest-DRL is an automated penetration testing framework based on Deep Reinforcement Learning (DRL) techniques. AutoPentest-DRL can determine the most appropriate attack path for a given logical ...
IEEE

Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently

Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...
GitHub

Metasploit Exploit CVE Coverage

This repository provides a daily, automatically updated JSON dataset detailing which exploits within the Metasploit Framework are associated with specific Common Vulnerabilities and Exposures (CVE) ...