摘要
目前基于博弈模型的最优防御策略选取方法,多数没有考虑攻击者的类型、防御者反击行为和攻击成功率,而且多采用完全信息假设,使用场合受限,实用性不强.本文提出了一种基于不完全信息攻防博弈的最优防御策略选取方法,构建了不完全信息攻防博弈模型,并结合攻击者类型、防御者反击行为和攻击成功率对已有的策略收益量化方法进行改进,使得策略收益量化更加全面,能够准确地计算双方收益.实例分析验证了模型和算法的有效性.
Game theory has been widely used in defense strategies selection. However, many works were based on complete information and ignored the type of attackers and the strike back act of defenders. This paper presented a defense strategies selection method based on static incomplete information game. Firstly, we built the incomplete information Attack-Defense Game model. Then, considering the type of attackers,the strike back act of the defender and the success attack rate,we improved the classical attack-defense taxonomy and cost quantitative method and made it more comprehensive and precisely. A example was provided to demonstrate the effcetiveness of our model and algorithm.
出处
《小型微型计算机系统》
CSCD
北大核心
2015年第10期2345-2348,共4页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(61303074
61309013)资助
国家"九七三"重点基础研究发展计划基金项目(2012CB315900)资助
关键词
不完全信息
攻防博弈模型
纯策略
贝叶斯均衡
incomplete information
attack-defense game model
pure strategy
bayesian equilibrium
