The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (4): 105-120.doi: 10.19682/j.cnki.1005-8885.2023.2020

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Research on security situation awareness algorithm of Markov differential game block-chain model

Luo Zhiyong, Wang Shuyi, Song Weiwei, Liu Jiahui, Wang Jianming   

  1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
  • Received:2022-01-06 Revised:2022-11-13 Accepted:2023-08-31 Online:2023-08-31 Published:2023-08-31
  • Contact: Luo Zhiyong, E-mail:
  • Supported by:
    This work was supported by Heilongjiang Provincial Natural Science Foundation of China (LH2021F031).

Abstract: To analyze the impact of solar eclipse attacks on the block-chain network and comprehensively and accurately evaluate the security of the current system, a method based on the Markov differential is proposed to solve the problem that it is difficult to meet the multi-stage continuous real-time randomness in the current block-chain network attack and defense process. Block-chain network security situation awareness method based on game model. This method analyzes the security data generated by the solar eclipse attack, establishes the corresponding attack graph, and classifies the offensive and defensive strengths of the offensive and defensive parties. Through a multi-stage offensive and defensive game, the security level of each node of the blockchain system is combined with the final objective function value comprehensively evaluates the real-time security status of the system. The results of simulation experiments show that the proposed model and algorithm can not only effectively evaluate the overall security of the blockchain network, but also have feasibility in predicting the future security status.

Key words: block-chain security, eclipse attack, game theory, Markov decision, security situation awareness