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Technology of Network & Communication
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519-524

Intrusion path prediction based on incomplete information multi-stage game

Yang Junnan1,2
Zhang Hongqi1,2
Zhang Chuanfu1,2
Yang Chao1,2
1. Information Engineering University, Zhengzhou 450001, China
2. Henan Province Key Laboratory of Information Security, Zhengzhou 450001, China

Abstract

The target network information which intruder learn will gradually increase in the intrusion process. According to the new information, intruder will find a better intrusion path than before and adjust strategy. This paper presented a method which could more accurately predict intrusion path. First, it established a dynamic defense graph based on hypergraph theory and proposed the method to update dynamic defense graph. Second, it established incomplete information multi-stage game model. Finally, it designed the dynamic defense graph path predictive algorithm based on game. The experiment gives a concrete example about the model of predicting intrusion path. The analysis of the example results illustrate the reasonableness and accuracy of the model.

Foundation Support

国家“863”计划资助项目(2014AA7116082,2015AA7116040)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0880
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Network & Communication
Pages: 519-524
Serial Number: 1001-3695(2019)02-044-0519-06

Publish History

[2019-02-05] Printed Article

Cite This Article

杨峻楠, 张红旗, 张传富, 等. 基于不完全信息多阶段博弈的入侵路径预测 [J]. 计算机应用研究, 2019, 36 (2): 519-524. (Yang Junnan, Zhang Hongqi, Zhang Chuanfu, et al. Intrusion path prediction based on incomplete information multi-stage game [J]. Application Research of Computers, 2019, 36 (2): 519-524. )

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  • Application Research of Computers Monthly Journal
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    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.

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