A Bayesian Correlated Equilibrium for Early Insider-Threat Detection
Game-theoretic model frames insider threat detection as a dynamic Bayesian game, coordinating strategic certifiers to catch malicious deviations before data exfiltration — a novel alternative to behavioural-analytics approaches.
Summary written by editorial AI · Source link below
arXiv:2609.03096v1 Announce Type: new Abstract: We model insider threat detection as a dynamic Bayesian game in which a platform coordinates a committee of strategic certifiers to sustain equilibrium among honest users and detect malicious deviations before exfiltration. Certifiers and users operate under a Bayesian Temporal Correlated Equilibrium (BTCE), where a sealed-envelope correlating device issues private recommendations over time and obedience is verified at every on-path information st
Editorial Analysis
Insider threats remain one of the hardest detection problems; a formal game-theoretic framework could improve early-warning capabilities beyond current user-behaviour analytics.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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