Markov Differential Game Model and Its Application in Network Security

doi:10.3969/j.issn.0372-2112.2019.03.013

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Markov Differential Game Model and Its Application in Network Security

更新时间：2025-07-02

- Markov Differential Game Model and Its Application in Network Security
- Acta Electronica Sinica Vol. 47, Issue 3, Pages: 606-612(2019)
- 作者机构：
  
  1. 信息工程大学三院,河南,郑州,450001
  2. 信息保障技术重点实验室,北京,100093
  3. 信息工程大学三院,河南,郑州,450001
  4. 信息保障技术重点实验室,北京,100093
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61303074, No.61309013);Technology Research and Development Program Fund of Henan Province (No.182102210144);Open Fund of Key Laboratory of Information Assurance Technology (No.KJ-15-110)
- DOI：10.3969/j.issn.0372-2112.2019.03.013
  CLC： TP309
- Published Online：25 March 2019，
  
  Published：2019
- 稿件说明：
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Markov Differential Game Model and Its Application in Network Security[J]. Acta Electronica Sinica, 2019, 47(3): 606-612.
DOI：

Markov Differential Game Model and Its Application in Network Security[J]. Acta Electronica Sinica, 2019, 47(3): 606-612. DOI： 10.3969/j.issn.0372-2112.2019.03.013.

摘要

当前基于博弈理论的网络安全研究成果难以应用于实时、连续、随机对抗的网络攻防过程.本文针对网络安全防御的实时性和网络状态变化的随机性，基于动态、实时对抗的视角分析攻防行为，在结合微分博弈模型和Markov决策方法的基础上进行扩展，构建Markov攻防微分博弈模型，分析具有多个阶段且每阶段持续时间较短的攻防过程；提出多阶段博弈均衡解计算方法，设计多阶段最优防御策略选取算法.仿真实验结果表明，模型和算法有效且可行.

Abstract

The current research of network security based on game theory fails to analyze the real-time

continuous

and random network attack and defense process.For the randomness of security states and the real-time character of network defense decision-making

we analyzed the network attack and defense behaviors from the view of dynamic and real-time confrontation.Then we combined and extended the differential game model and Markov decision-making method.On these basis

a Markov attack-defense differential game model is constructed

which can be adopted to analyze the multi-stage attack and defense process with short duration in each stage.Besides

a multi-stage game equilibrium solution is proposed

and an optimal defense strategy selection algorithm is designed.Finally

the experiments demonstrate that the model and method proposed in this paper are valid.

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