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  • 标题:Analysis Method based on Rough Attack-defense Bayes Game Model
  • 本地全文:下载
  • 作者:Kai Zhang
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:109-118
  • DOI:10.14257/ijsia.2015.9.1.12
  • 出版社:SERSC
  • 摘要:In order to solve the strategic interdependence question during the attack and defense process in a complex network, the dissertation proposes an analysis method based on rough attack-defense Bayes game model. After defining the inner structure of attacking agent and defense agent, the dissertation extends traditional object Petri Net and introduces rough set theory into node domain and transition domain, then propose the network attack-defense confrontation model. By dividing domain attack strategy set into equivalence classes, the extraction method of characteristic attack strategy set is given. Then the rough game model and utility function of attack and defense agents are defined, accordingly, the solution of Bayes equilibrium strategy and maximal attack and defense strategy set are proposed. The analysis method can reduce the scale of strategic space of the game model, and suitable for researching on complex network attack and defense action.
  • 关键词:Attack and Defense Strategy; Object Petri net; Rough Set; Game Theory
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