Deception Equilibrium Analysis for Three-Party Stackelberg Game with Insider

Fuente: arXiv
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Main Authors: Xin, Xiaoyu, Xu, Gehui, Hong, Yiguang
Format: Preprint
Published: 2026
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author Xin, Xiaoyu
Xu, Gehui
Hong, Yiguang
author_facet Xin, Xiaoyu
Xu, Gehui
Hong, Yiguang
contents This paper investigates strategic interactions within a three party deception security game involving a defender, an insider, and external attackers. We propose a robust deception mechanism where the leader manipulates game parameters perceived by followers to enhance defense performance when followers operate under misperceived and uncertain observation. Specifically, we propose a unified three party leader follower game framework and introduce the concepts of Deception Stackelberg equilibria (DSE) and Hyper Nash equilibria (HNE), which generalize classical two-player Stackelberg and deception games. We develop necessary and sufficient conditions for the consistency between DSE and HNE, ensuring that the defender's utility remains invariant when the hierarchical structure degenerates into a simultaneous-move scenario. Moreover, we propose a scalable hypergradient-based algorithm with established convergence guarantees for seeking DSE, efficiently addressing the computational challenges posed by non-smooth and set-valued best-response mappings. Finally, we apply theoretical analysis to practical scenarios in secure wireless communication and defense against insider-assisted false data injection attacks.
format Preprint
id arxiv_https___arxiv_org_abs_2604_02807
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Deception Equilibrium Analysis for Three-Party Stackelberg Game with Insider
Xin, Xiaoyu
Xu, Gehui
Hong, Yiguang
Computer Science and Game Theory
Optimization and Control
This paper investigates strategic interactions within a three party deception security game involving a defender, an insider, and external attackers. We propose a robust deception mechanism where the leader manipulates game parameters perceived by followers to enhance defense performance when followers operate under misperceived and uncertain observation. Specifically, we propose a unified three party leader follower game framework and introduce the concepts of Deception Stackelberg equilibria (DSE) and Hyper Nash equilibria (HNE), which generalize classical two-player Stackelberg and deception games. We develop necessary and sufficient conditions for the consistency between DSE and HNE, ensuring that the defender's utility remains invariant when the hierarchical structure degenerates into a simultaneous-move scenario. Moreover, we propose a scalable hypergradient-based algorithm with established convergence guarantees for seeking DSE, efficiently addressing the computational challenges posed by non-smooth and set-valued best-response mappings. Finally, we apply theoretical analysis to practical scenarios in secure wireless communication and defense against insider-assisted false data injection attacks.
title Deception Equilibrium Analysis for Three-Party Stackelberg Game with Insider
topic Computer Science and Game Theory
Optimization and Control
url https://arxiv.org/abs/2604.02807