Method for countering strategic attacks in zero-boundary trusted networks

This paper proposes a detection method for countering strategic attacks in zero-boundary trusted networks. In a normal network, malicious nodes are only a minority; therefore, this paper employs a simple game-theoretic approach to suppress the occurrence of malicious events. Firstly, the paper introduces a behavior-based event inference method to detect malicious events, wherein nodes reference the inference results of other nodes to form composite reports. Subsequently, the paper introduces a simple game, allowing malicious nodes to choose not to falsify reports under disadvantaged scenarios, reaching a Bayesian equilibrium with normal nodes, thereby reducing the incidence of malicious events. This method demonstrates significant effectiveness in conventional networks where malicious nodes constitute a minority.