【摘要】 提出了基于静态贝叶斯博弈的攻击预测模型。该模型通过模拟攻击者和防御者的攻防行为选择,能预测出理性的攻击者和防御者为最大化各自的收益会选择攻击和防御的概率。预测结果为网络安全管理员进行安全配置提供了有价值的参考依据,从而使被动的检测变为主动的有针对性的防御成为可能。最后介绍了相应的实验过程和结果分析,验证了模型的有效性。更多还原

【Abstract】 This paper described an attack prediction model based on static Bayesian game.The model could predict the probabi-lity 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.更多还原