电子学报2018，Vol.46Issue(6)：1503-1509,7.DOI:10.3969/j.issn.0372-2112.2018.06.033
基于Markov演化博弈的网络防御策略选取方法
Network Defense Strategy Selection Method Based on Markov Evolutionary Game
摘要
Abstract
Most research of network security based on the traditional game theory use completely rational assump-tion. For the condition of bounded rationality and the characteristic of dynamic changing process,we combined the evolu-tionary game model with Markov decision-making process based on the theory of non-cooperative evolutionary game, which is on the restraint of bounded rationality. Thus we constructed a multi-stage Markov attack-defense evolutionary game model to achieve multi-stage and multi-state dynamic analysis and evolution. Besides,on the basis of the sum dis-count payoffs to design objective function,the method to solve the evolutionary stable equilibrium was proposed,and the optimal defense strategy selection algorithm was provided. Finally,the validity of the model and method is validated by nu-merical simulation.关键词
网络安全/网络攻防/博弈论/有限理性/演化博弈/网络防御/Markov决策/多阶段最优防御Key words
network security/network attack-defense/game theory/bounded rationality/evolutionary game/network defense/Markov decision-making/multi-stage optimal defense分类
信息技术与安全科学引用本文复制引用
张恒巍,黄健明..基于Markov演化博弈的网络防御策略选取方法[J].电子学报,2018,46(6):1503-1509,7.基金项目
国家自然科学基金(No.61303074,No.61309013) （No.61303074,No.61309013）
信息保障技术重点实验室开放基金(No.KJ-15-110) （No.KJ-15-110）
