Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment. (arXiv:2210.15011v1 [cs.GT])

Identifying the actual adversarial threat against a system vulnerability has
been a long-standing challenge for cybersecurity research. To determine an
optimal strategy for the defender, game-theoretic based decision models have
been widely used to simulate the real-world attacker-defender scenarios while
taking the defender's constraints into consideration. In this work, we focus on
understanding human attacker behaviors in order to optimize the defender's
strategy. To achieve this goal, we model attacker-defender engagements as
Markov Games and search for their Bayesian Stackelberg …

adversarial capture deception environment flag game