Network defense strategy selection method based on stochastic evolutionary game model

Abstract

The invention belongs to the technical field of network security, and in particular relates to a network defense strategy selection method based on a random evolutionary game model. The network defense strategy selection method based on the random evolutionary game model comprises the steps of: constructing an asymmetrical network attack-defense random evolutionary game model based on a random power system; with the help of Gaussian white noise, obtaining a network attack-defense random evolutionary game system by adopting Ito random differential equation; performing numerical solution of the network attack-defense random evolutionary game system by adopting an Milstein method, so that an attack-defense evolutionary equilibrium solution is obtained; and, for the attack-defense evolutionary equilibrium solution, performing stability analysis of strategy selection states of both attack and defense sides according to the stability theorem of the solution of the random differential equation, and outputting a network security defense strategy in the equilibrium solution. By means of the network defense strategy selection method based on the random evolutionary game model disclosed by the invention, the problems, such as a problem that the traditional game model applied to network defense strategy selection is not accurate enough, can be solved; the random dynamic evolutionary process among boundedly rational attack and defense decision makers can be analyzed more accurately; the security defense strategy selection practicability is improved; and the network defense strategy selection method has the important guiding significance for the network security defense technology.

Description

technical field [0001] The invention belongs to the technical field of network security, in particular to a method for selecting a network defense strategy based on a stochastic evolutionary game model. Background technique [0002] At present, the means of network attacks are increasingly complex, intelligent, and diversified, and the attack goals of attackers are also increasingly driven by economic interests. Facing many challenges in the field of cyberspace security, enhancing cybersecurity defense capabilities, and ensuring cyberspace security have become urgent issues to be solved. Game theory is a decision-making theory that studies the direct interaction between the behaviors of decision-making subjects. It has characteristics such as goal antagonism, relationship non-cooperation, and strategy dependence, which are consistent with the basic characteristics of network attack and defense. Therefore, applying game theory to the modeling and analysis of the network atta...

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Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention provides a network defense strategy selection method based on a stochastic evolutionary game model, which solves the problem that the traditional deterministic game model is not accurate enough in network defense strategy selection, and can more accurately analyze the attack and defense of bounded rationality The stochastic dynamic evolution process among decision makers enhances the practicality and guiding significance of security defense strategy selection

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