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Playing Repeated Stochastic Security Games Against Non-Stationary Attackers

Author

Listed:
  • Ling Chen

    (School of Mathematics and Statistics, Taiyuan Normal University, Jinzhong 030619, China)

  • Runfa Zhang

    (School of Automation and Software Engineering, Shanxi University, Taiyuan 030013, China
    Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China)

Abstract

This paper investigates a repeated stochastic security game against a non-stationary attacker. Most of the work to date assumes that the defender has a repeated interaction with a fixed type of attacker. In fact, the defender is more likely to encounter changing attackers in multi-round games. A defender faces an attacker whose identity is unknown. The attacker type changes stochastically over time and the defender cannot detect when these changes occur. We adopt the BPR (Bayesian Policy Reuse) algorithm to detect the switches of the attacker, and the defender could play the accurate policy correspondingly. The experiment results show that BPR algorithm could accurately detect switches and help the defender gain more utilities than the EXP3-S algorithm.

Suggested Citation

  • Ling Chen & Runfa Zhang, 2025. "Playing Repeated Stochastic Security Games Against Non-Stationary Attackers," Mathematics, MDPI, vol. 13(17), pages 1-13, August.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:17:p:2697-:d:1729922
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