Chinese Journal of Network and Information Security ›› 2018, Vol. 4 ›› Issue (8): 12-20.doi: 10.11959/j.issn.2096-109x.2018065

• Papers • Previous Articles     Next Articles

Defense decision-making method based on incomplete information stochastic game

Junnan YANG1,2(),Hongqi ZHANG1,2,Chuanfu ZHANG1,2   

  1. 1 Information Engineering University,Zhengzhou 450004,China
    2 Henan Province Key Laboratory of Information Security,Zhengzhou,450001,China
  • Revised:2018-07-11 Online:2018-08-01 Published:2018-10-12
  • Supported by:
    The National High Technology Research and Development Program of China(2014AA7116082);The National High Technology Research and Development Program of China(2015AA7116040)


Most of the stochastic game models to select network defense strategies are composed of matrix game and Markov decision,which assumes that the defender has known the attacker's revenue.This assumption does not conform to the actual situation.The uncertainty of the attacker's income was converted into the indeterminacy of the attacker type,and an incomplete information stochastic game model,which was combined with the static Bias game and Markov decision,was constructed.The equilibrium solution method of the incomplete information stochastic game model was given,and the strategy selection of the defender was guided by the stable Bias Nash equilibrium.Finally,a practical example was given to demonstrate the feasibility and effectiveness of the model.

Key words: network attack-defense, stochastic game, incomplete information, bayesian nash equilibrium, defense strategies

CLC Number: 

No Suggested Reading articles found!