基于信号博弈的移动目标防御最优策略选取方法

Optimal strategy selection method for moving target defense based on signaling game

针对移动目标防御最优策略选取问题,从攻击面转换(ASS)和探测面扩展(ESE)的角度形式化来定义防御策略,阐释了防御原理;采用动态对抗和有限信息的视角对网络攻防行为进行研究,在分析攻防博弈类型和攻防过程的基础上,构建了基于信号博弈的移动目标防御模型;改进了攻防策略量化计算方法,提出了精炼贝叶斯均衡求解算法,并通过对博弈均衡的分析设计了最优防御策略选取算法。仿真实验验证了所提模型和方法的有效性。

To solve the problem of the optimal strategy selection for moving target defense,the defense strategy was defined formally,the defense principle from the perspective of attack surface shifting and exploration surface enlarging was taken into account.Then,network attack-defense behaviors were analyzed from the sight of dynamic confrontation and bounded information.According to the analysis of attack-defense game types and confrontation process,the moving target defense model based on signaling game was constructed.Meanwhile,the method to quantify strategies was improved and the solution of perfect Bayesian equilibrium was proposed.Furthermore,the optimal defense strategy selection algorithm was designed by the equilibrium analysis.Finally,the simulation demonstrates the effectiveness and feasibility of the proposed optimal strategy and selection method.