Proactive Defense Model Based on Non-Zero-Sum Signal Game

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Proactive Defense Model Based on Non-Zero-Sum Signal Game

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[1]HUANG Wanwei,YUAN Bo,WANG Sunan,et al.Proactive Defense Model Based on Non-Zero-Sum Signal Game[J].Journal of Zhengzhou University (Engineering Science),2022,43(01):90-96.[doi:10.13705/j.issn.1671-6833.2021.05.010]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 43 Number of periods: 2022 01 Page number: 90-96 Column: Public date: 2022-01-09

Title:: Proactive Defense Model Based on Non-Zero-Sum Signal Game

Author(s):: HUANG Wanwei¹; YUAN Bo¹; WANG Sunan²; ZHANG Xiaohui³; 1.College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China;
2.School of Electronic and Communication Engineering, Shen Zhen Polytechnic, Shenzhen 518005, China; 3.Henan Xin′an Communication Technology Co., Ltd., Zhengzhou 450001, China

Keywords:: non-zero-sum; signal game; discount factor; optimal defense strategy

CLC:: TP309

DOI:: 10.13705/j.issn.1671-6833.2021.05.010

Abstract:: In recent years, the damages of network attacks such as launched by APT has become more and more serious. Although existing studies based on signal game theory could simulate the APT attack and defense process to a certain extent, they ignored the phenomenon of unequal benefits between the two sides in the process of attack and defense and the multi-stage confrontation process, resulting in the lack of universality of the model and method. In this paper, a proactive defense model based on non-zero-sum signal game was proposed. First of all, the attack and defense game tree was built based on the signal game theory and the analysis of network attack and defense multi-stage confrontation process. Secondly, the non-zero-sum method and discount factor were used to build the multi-stage income of model in the process of offensive and defensive based on the situation of unequal income. On this basis, a quantitative method was proposed for network attack and defense characteristics, and the current optimal defense strategy algorithm was obtained based on the Nash equilibrium and refined Bayesian equilibrium existing in the analysis model. Finally, the model and method were verified by simulation experiments. The results showed the feasibility and effectiveness of the proposed model and method.

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Last Update: 2022-01-09