BG-FlipIn: A Bayesian Game Framework for FlipIt-Insider Models in Advanced Persistent Threats

This research introduces BG-FlipIn, a Bayesian game framework (a mathematical model where players make decisions based on incomplete information about each other) for studying advanced persistent threats (APT, long-term cyberattacks where an attacker maintains hidden access to a system) that involve an insider threat. The framework models three types of insiders—malicious, inadvertent, and corrupt—and helps defenders make strategic decisions about how often to check for or remove threats without needing to know exactly what the insider wants or constantly changing their defense approach.