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
보안공학연구지원센터(IJSIA) [Science & Engineering Research Support Center, Republic of Korea(IJSIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Security and Its Applications
간기
격월간
pISSN
1738-9976
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.9 No.1