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Network defense strategy selection method and apparatus based on Markov evolutionary game

An evolutionary game and strategy technology, applied in the field of network security, can solve problems such as limited application value

Active Publication Date: 2017-09-05
THE PLA INFORMATION ENG UNIV
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Problems solved by technology

In view of the dynamic change characteristics of the offensive and defensive process of both offensive and defensive parties in the real society, its application value is limited

Method used

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  • Network defense strategy selection method and apparatus based on Markov evolutionary game
  • Network defense strategy selection method and apparatus based on Markov evolutionary game
  • Network defense strategy selection method and apparatus based on Markov evolutionary game

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Embodiment Construction

[0044] In order to make the purpose, technical solution and advantages of the present invention more clear and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and technical solutions. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0045] Markov analysis: also known as the Markov transition matrix method, refers to a method of predicting the future changes of these variables by analyzing the actual changes of random variables under the assumption of the ...

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Abstract

The invention relates to a network defense strategy selection method and apparatus based on Markov evolutionary game. The method comprises the following steps: constructing a multi-stage Markov attack and defense evolutionary game model according to dynamic attack and defense game in a network attack and defense process, wherein the model contains a plurality of sub game stages; solving and outputting optimal defense strategies of the stages of the attack and defense game by using an optimal defense strategy selection algorithm for the multi-stage Markov attack and defense evolutionary game model. According to the network defense strategy selection method and apparatus provided by the invention, a dynamic evolution process of network attack and defense in view of the multi-stage Markov attack and defense evolutionary game model, the state skip of the evolutionary stages is described as a random process from the angle of attack and defense confrontation, and the multi-stage Markov evolutionary game is constructed on the basis of the Markov process; the total discount gain of the game is used as a target function, a discount factor eta is imported to perform discount processing on the game gains of different stages, a network security analysis method and a defense technology system are researched and searched, and thus the network defense strategy selection method and apparatus have important practical significance.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a Markov evolutionary game-based network defense strategy selection method and a device thereof. Background technique [0002] Facing the challenges in the field of cyberspace security, enhancing cybersecurity defense capabilities, and ensuring cyberspace security have become urgent issues to be solved. The essence of network security lies in offensive and defensive confrontation. Therefore, from the perspective of offensive and defensive confrontation, research and exploration of network security analysis methods and defense technology systems have important practical significance and have become the focus of research in recent years. Game theory is a theory that studies decision-making problems when the behaviors of decision-making subjects interact directly. The characteristics of target antagonism, relationship non-cooperation, and strategy dependence of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/24
CPCH04L41/142H04L41/145H04L41/147H04L63/1441H04L63/205
Inventor 张恒巍王娜黄健明韩继红王衡军李涛寇广王晋东
Owner THE PLA INFORMATION ENG UNIV
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