Are you looking for a master thesis or an internship? Here are some ideas...
Reinforcement Learning has been shown to excel at sequential decision making tasks. Agents can learn from experience while interacting with an environment. Some of the research here at Cylab aims at developing agents that are capable of performing penetration tests for small networks. While current methods look promising, further improvements need to be made in simulating more advanced environments and scenarios, to augment the capabilities. You’ll be able integrate into the team and provide meaningful additions that will be used in the future by us and potentially other research labs.