Active defense strategy selection based on static Bayesian game

Nowadays, the network defense based on incomplete information game model ignored the type of the defender, used simple cost quantitative method, and chosen defense strategies improperly. Aiming at the problem, this paper proposed an active defense strategy selection based on static Bayesian game theory, constructed static Bayesian game model. The model considered the types of the attacker and the defender, and improved the classical strategies taxonomy and cost quantitative method with considering the strike back act of the defender and the success attack rate. Then, this paper calculated and comprehensively analyzed the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of attacker as the defender´s prediction of attacker´s action, this paper calculated the defense effectiveness of defense strategies and performed a defense strategies selection algorithm. At last, an example was provided to analyze and demonstrate the effectiveness of the model and algorithm.