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中文摘要：
由于不完全信息博弈最优防御策略选取方法仅考虑攻击者的类型，未考虑防御者类型，策略选取可操作性差，故提出了一种基于静态贝叶斯博弈的最优防御策略选取方法，构建了静态贝叶斯博弈模型，将攻击者和防御者分为多种类型．认为攻击者混合策略是防御者对攻击者可能采取行动的可信预测，对防御策略效能进行计算，并给出了最优主动防御策略选取算法，使策略选取可操作性更强．
英文摘要：
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.
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