Attack and defense evolutionary game analysis based network defense action decision method

Abstract

The invention belongs to the technical field of network safety, and particularly to an attack and defense evolutionary game analysis based network defense action decision method. The attack and defense evolutionary game analysis based network defense action decision method comprises the steps of introducing an excitation factor of a same game group strategy dependence relationship to build a network attack and defense evolutionary game model; performing balanced solution on the network attack and defense evolutionary game model to obtain different balance points in an attack and defense evolution process; and determining an optimal defense strategy based on the balance points; and performing stability analysis on the balance points to obtain a correspond game evolutionary trend. Accordingto the method, the excitation factor is introduced, the dynamic evolution process is copied to describe the network attack and defense process, and the network attack and defense evolutionary game model based on an improved evolutionary game theory is built; evolutionary balanced solution is carried out for the circumstances that the attacker and the defender have multiple selectable strategies, the obtained balance points are subjected to the stability analysis, the network attack and defense game model and the application scope are extended, the practicability and accuracy of the model are improved, and important guiding significance is provided for the network safety technology.

Description

Technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a network defense action decision-making method based on attack and defense evolution game analysis. Background technique [0002] With the development of information technology, various network infrastructures have spread across all fields of human society, greatly improving the efficiency of people's lives and work, and correspondingly, people are more dependent on cyberspace. People’s actual demand for the intelligent degree of continuous benefit in social development has led to the development of cyberspace in the direction of large scale and complex environment, which directly leads to the increase of unstable factors in the network environment, from hackers, Trojan horses, virus programs, Malicious code, physical failures, man-made sabotage, and other threats emerge in endlessly, making cyberspace security face severe threats and challenges. How to ensure n...

AI Technical Summary

Problems solved by technology

However, the traditional evolutionary game fails to consider the dependence relationship between the strategies of the same game group between the offensive and defensive parties.

Strategy dependence is one of the characteristics of the attack and defense process. In the actual network attack and defense process, not only there are dependencies between attack and defense strategies, but also between defense strategies and attack strategies, and the dependencies between strategies of the same group are ignored. , will reduce the validity and accuracy of the model and method

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