Industrial Control System Defense Decision-Making Method Based on Dynamic Attack-Defense Game

Abstract

Industrial control systems are different from traditional information systems and require extremely high system availability. In the face of potential attack incidents, blind defense deployment may affect system performance and efficiency, which is counterproductive. For this reason, this paper proposes a defense decision-making method for industrial control systems based on dynamic attack-defense games. This method first analyzes the actual attack-defense confrontation scenarios in the industrial control system, and constructs a dynamic attack-defense game model based on this. After that, an industrial control system attack-defense game tree defined on this model is constructed, and the game tree is used to describe the specific attack-defense confrontation process. Then the backward induction method is used in the game tree to find the equilibrium path. The information on this path is of great reference value for defenders to choose a reasonable and efficient defense plan, maintain system stability and reduce defense costs. At the end of this paper, this method is applied to a real limestone powder preparation system for experiments. The experimental results verify the effectiveness of the method in actual scenarios.