Attack prediction model based on static Bayesian game
基于静态贝叶斯博弈的攻击预测模型*

This paper described an attack prediction model based on static Bayesian game. The model could predict the probability of attacks or defenses that reasonable attacker or defender would take ,in order to maximize their payoff. Thus the result could be used to assist security administrators to configure the network system. It might improve the passive detection to the active protection for the defender. This paper also presented the process of experimental and analysis result for validity of the model.