静态贝叶斯博弈主动防御策略选取方法

Active defense strategy selection based on the static Bayesian game

Nowadays, the optimal defense strategies selection based on the incomplete information game model has many disadvantages, such as ignoring the type of the defender, using the simple cost quantitative method, and choosing defense strategies improperly. To solve the problem, this paper proposes an active defense strategy selection based on the static Bayesian game theory, and constructs the static Bayesian game model. The model considers the types of the attacker and the defender, and improves the classical strategies taxonomy and cost quantitative method by considering the strike back act of the defender and the success attack rate. Then, this paper calculates and comprehensively analyzes the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of the attacker as the defender's prediction of the attacker's action, this paper calculates the defense effectiveness of defense strategies and performs a defense strategies selection algorithm. Finally, an example is provided to analyze and demonstrate the effectiveness of the model and algorithm.