Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (5): 55-61.doi: 10.19665/j.issn1001-2400.2019.05.008

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Optimal defense strategy selection based on the static Bayesian game

WANG Zengguang1,LU Yu1,LI Xi2,LI Zhiwei1   

  1. 1. Equipment Command and Administration Department, Shijiazhuang Campus of the Army Engineering Univ., Shijiazhuang 050003, China
    2. Equipment Simulation Training Center, Shijiazhuang Campus of the Army Engineering Univ., Shijiazhuang 050003, China
  • Received:2019-01-02 Online:2019-10-20 Published:2019-10-30

Abstract:

Nowadays, the network optimal defense strategy selection based on the game theory has many disadvantages, such as ignoring the influence of strategy selection ability between attacker and defender, and choosing the defense strategy improperly in the form of probability. In order to solve the problem, an optimal defense strategy selection method based on the static Bayesian game is proposed. The network attack-defense process is modeled from the perspective of incomplete information. The difference of strategy selection ability between attacker and defender is quantified by the convergence degree. The defense effectiveness is quantified on the basis of mixed strategy Bayesian Nash equilibrium. The optimal defense strategy is selected that takes defense effectiveness as the criterion. The rationality and feasibility of the method proposed in this paper are verified via a representative example. Compared with the traditional strategy selection method based on the game theory, this method is more closely related to the actual network and has a greater operability.

Key words: static Bayesian game, optimal defense, mixed strategy Bayesian Nash equilibrium, defense effectiveness

CLC Number: 

  • TP309