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Analysis Method based on Rough Attack-defense Bayes Game Model

원문정보

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영어

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.

목차

Abstract
 1. Introduction
 2. Generation of Offensive and Defensive Strategy based on Model of Network Attack Defense Confrontation
  2.1. Define the Model of Network Attack and Defense Confrontation
  2.2. The Attack Strategy Set and Rough
 3. Analysis of Game Theory based on Attack Defense Confrontation Model
  3.1 The Definition of Attack Defense Game Model and the Largest Defense Strategy Set
  3.2. The Utility Matrix Generation Algorithm of Offensive and Defensive Utility Matrix
 4. Experiment Design and Discussion
 5. Conclusion
 References

저자정보

  • Kai Zhang School of Computer Sciences, Neijiang Normal University NeiJiang 641100, China

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