%0 Journal Article %A CHEN Yong-qiang %A FU Yu %A SONG Yan %A WU Xiao-ping %T Network Attack-Defense Strategies Selection Based on Stochastic Game Model %D 2014 %R 10.13190/j.jbupt.2014.s1.007 %J Journal of Beijing University of Posts and Telecommunications %P 35-39 %V 37 %N s1 %X

Game theory was applied on network defense very well. And static model was used widely in most of the previous studies. However, there shows that such models have not take attack-defense cost into consideration and also cannot follow the evolving of the intention and strategies of attacks. A stochastic game model is proposed based on host vulnerability information. Combining host important degree and success rate of defense measures, attack-defense cost in single security attribute is analyzed, then a cost quantitative method with attack-defense intention is provided. An algorithm for attack-defense equilibrium strategy selection based on those models is proposed. Another example is given to illustrate the efficacy of this model and algorithm.

%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2014.s1.007