Are you looking for a master thesis or an internship? Here are some ideas...
In the context of the SLATE (Self-Learning Attack Surface Explorer) project, we’re looking for an intern to re-write one of the Reinforcement Learning (RL) environments we’re using in our research. Specifically, the environment shall be re-written using Google JAX, a high-performance numerical computing library that combines NumPy’s familiar API with GPU acceleration and automatic differentiation for machine learning research. The environment in question is the Network Attack Simulator (NASim). Within NASim, an agent has different scan, exploit, and privilege escalation actions in its arsenal. The goal of the agent is to learn a policy, to use these actions in an order that allows it to advance through the network, and gain root privileges on sensitive hosts.
Open-source intelligence (OSINT) plays an important role in cyber-security by enabling analysts to find and analyze publicly available information to discover potential threats, vulnerabilities and cybercriminal activities. From tracking threat actors on social media to identifying weaknesses in publicly accessible systems, OSINT is an indispensable tool for cyber professionals.