多阶段平台动态防御的Markov演化博弈模型及迁移策略

为提升持续性和阶段性攻击下平台动态防御效率,提出多阶段平台动态防御的Markov演化博弈模型和迁移策略.从平台动态防御的网络攻防原理入手,分析平台动态防御的循环性和阶段性特点,进行多阶段平台动态防御的关键参数和收益计算;建立多阶段平台动态防御的Markov演化博弈模型,针对博弈的阶段性,在总收益计算中引入折现因子和转移...

Markov Evolutionary Game Model and Migration Strategies for Multi-stage Platform Dynamic Defense

Markov evolutionary game model and migration strategy of multi-stage platform dynamic defense are proposed to improve the efficiency of platform dynamic defense under persistent and periodic attacks. The cyclical and phased characteristics of platform dynamic defense are analyzed from the network attack and defense principle of platform dynamic defense, and the key parameters and revenue of multi-stage platform dynamic defense are calculated. Markov evolutionary game model of multi-stage platform dynamic defense is established. According to the stage of the game, the discount factor and transfer probability are introduced into the total revenue calculation. On this basis, the existence of Nash equilibrium in multi-stage Markov platform dynamic defense evolutionary game is studied, and the Nash equilibrium solution and optimal migration strategy selection algorithm are given. Finally, an example is given to design the analysis process of the migration strategy, and the effectiveness of the proposed model and migration strategy is verified by simulation.