一种基于演化博弈的平台动态防御策略

A Dynamic Platform Defense Strategy Based on Evolutionary Game

兼顾网络平台防御效能和系统业务负载能力,提出一种基于演化博弈的平台动态防御策略。从动态博弈视角入手,分析基于可重构计算的平台动态防御机理,提出应对网络病毒感染的平台切换防御机制。量化定义网络攻防的收益函数,构建平台动态防御演化博弈模型。兼顾系统防御效能和业务负载能力,设计了一种平台配置变体动态切换算法,提出最优平台动态防御策略。理论分析和仿真结果表明,所提模型和算法能够在资源有限的条件下自适应选择最优防御策略,且与传统动态防御算法相比,防御效果能够提高43%~67%。

A platform dynamic defense strategy considering defense efficiency and system service load capacity of network platform is proposed.Firstly,the mechanism of platform dynamic defense is analyzed from the perspective of dynamic game based on the reconfigurable computing.Secondly,the revenue function of network attack and defense is defined quantitatively,and the dynamic platform defense evolutionary game model is constructed.Finally,a dynamic switching algorithm of platform configuration variants is designed considering both defense efficiency and service load capacity of system.The theoretical analysis and simulation results show that the proposed model and algorithm can adaptively select the optimal defense strategy under the condition of limited resources,and the defense effect can be improved by 43%~67%compared with that of the traditional dynamic defense algorithm.