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基于改进复制动态演化博弈模型的最优防御策略选取

黄健明 张恒巍

通信学报2018,Vol.39Issue(1):170-182,13.
通信学报2018,Vol.39Issue(1):170-182,13.DOI:10.11959/j.issn.1000-436x.2018010

基于改进复制动态演化博弈模型的最优防御策略选取

Improving replicator dynamic evolutionary game model for selecting optimal defense strategies

黄健明 1张恒巍2

作者信息

  • 1. 信息工程大学三院,河南郑州450001
  • 2. 数学工程与先进计算国家重点实验室,河南郑州450001
  • 折叠

摘要

Abstract

In terms of the existence of strategy dependency in the same game group,network attack-defense evolutionary game model based on the improved replicator dynamics was constricted by introducing the intensity coefficient,which completed the method of calculating replicator dynamic rate.The improved replicator dynamic equation was adopted to solve the evolutionary equilibrium for the situation that both attack and defense have two optional strategies.The stability of the equilibrium points was analyzed by the local stability analysis method of Jacobian matrix,and the optimal defense strategies were obtained under different conditions.The results show that the strategy dependency between the players in the same group has a certain influence on the evolution of the game,both the incentive and the inhibition.Finally,the accuracy and validity of the model and method are verified by the experimental simulation,which provides a new theoretical support for solving the information security problems in the real.

关键词

策略依赖性/激励系数/改进复制动态/复制动态速率/雅可比矩阵/最优防御策略

Key words

strategy dependency/strength coefficient/improving replicator dynamic/replicator dynamic rate/Jacobian matrix/optimal defense strategy

分类

信息技术与安全科学

引用本文复制引用

黄健明,张恒巍..基于改进复制动态演化博弈模型的最优防御策略选取[J].通信学报,2018,39(1):170-182,13.

基金项目

国家自然科学基金资助项目(No.61303074,No.61309013) (No.61303074,No.61309013)

河南省科技计划基金资助项目(No.12210231003,No.13210231002)The National Natural Science Foundation of China (No.61303074,No.61309013),Henan Science and Technology Research Project(No.12210231003,No.13210231002) (No.12210231003,No.13210231002)

通信学报

OA北大核心CSCDCSTPCD

1000-436X

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