基于模糊静态贝叶斯博弈的网络主动防御策略选取

Active defense strategy selection of network based on fuzzy static Bayesian game model

针对网络攻防过程中攻防双方存在无法完全获知对方信息以及无法对双方损益作出准确判定的问题,提出了一种基于模糊贝叶斯博弈模型的网络最优防御策略选取方法,结合网络攻防对抗双方信息不完全性的特点构建了模糊静态贝叶斯博弈模型。在此基础上引入三角模糊数描述攻防双方的效用函数,采用基于模糊概率及均值的方法获得清晰效用函数值,进而通过求解模型的纳什均衡获得最优防御策略;最后给出了最优防御策略选取流程。理论分析和仿真实验表明,该方法能够对不同攻击行为概率作出有效预测,为主动防御提供决策支持。

To solve the problem that the player could not fully get the information of opponent and could not make an accurate determination of the payoff of both sides during the process of attack and defense in networks, this paper presented a method of active network defense strategy selection based on fuzzy Bayesian game model. It established the fuzzy static Bayesian game model combining with the characteristic which was impossible to make accurate judgments on the information of opponent. On this basis, it described utility function with the concept of triangular fuzzy number, and obtained the clear value of utility func- tion by using fuzzy probability and average value. Then it obtained the optimal defense strategy by solving the Nash equilibrium of fuzzy Bayesian game model and proposed the network optimal defense strategy selection algorithm. Mathematic analysis and simulation experiments show that the method can effectively predict intrusion behavior.