Date of Award
Bachelor of Computer Science (Honours)
School of Computer and Security Science
Computing, Health and Science
Associate Professor Philip Hingston
Dr Martin Masek
This study has investigated novel Automated Red Teaming methods that support replanning. Traditional Automated Red Teaming (ART) approaches usually use evolutionary computing methods for evolving plans using simulations. A drawback of this method is the inability to change a team’s strategy part way through a simulation. This study focussed on a Monte-Carlo Tree Search (MCTS) method in an ART environment that supports re-planning to lead to better strategy decisions and a higher average score
Beard, Daniel, "Enhancing Automated Red Teaming with Monte Carlo Tree Search" (2011). Theses : Honours. Paper 36.