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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 9
2832-2837

Research on defense decision optimization of mobile targets based on Markov differential game

Hu Chunjiao1
Chen Ying2
Wang Gaocai2
1. Educational Technology Center, Yulin Normal University, Yulin Guangxi 537000, China
2. School of Computer & Electronic Information, Guangxi University, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2023.01.0011

Abstract

With the development of network attack and defense towards real-time continuous, dynamic and high-frequency changes, the traditional discrete multi-stage network attack and defense game model has been difficult to meet the actual needs, and the node state in the traditional network is single, which is difficult to accurately describe the evolution process of the node type in the actual network confrontation. This paper improved the dynamics model of node infectious disease, and applied it to network attack and defense. The model described the evolution process of nodes in different states and the migration relationship between nodes in the process of attack and defense. When constructing the Markov differential game defense model for moving targets, the paper used the differential game model to analysis in each stage, and used the Markov decision process to describe the state transition between stages. Through equilibrium analysis and solution, the paper designed the defense decision optimization algorithm to analyze the node state evolution. Simulation results show that the feasibility and effectiveness of the proposed model and optimization strategy are efficient.

Foundation Support

国家自然科学基金资助项目(62062007)
广西高校中青年教师科研基础能力提升项目(2020KY14020)
玉林师范学院高等教育本科教学改革工程项目(2022XJJGYB20)
玉林师范学院科研项目(2019YJKY15)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0011
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Technology of Information Security
Pages: 2832-2837
Serial Number: 1001-3695(2023)09-043-2832-06

Publish History

[2023-03-16] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

胡春娇, 陈瑛, 王高才. 基于Markov微分博弈的移动目标防御决策优化 [J]. 计算机应用研究, 2023, 40 (9): 2832-2837. (Hu Chunjiao, Chen Ying, Wang Gaocai. Research on defense decision optimization of mobile targets based on Markov differential game [J]. Application Research of Computers, 2023, 40 (9): 2832-2837. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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