In order to improve the safe level of network security, the fuzzy neutral network is applied in optimal attack and defense decision. Firstly, the theory model of attack and defense decision system for network security based on game theory is constructed, the game model of attack and defense model and the dynamical game model of incomplete information are deduced respectively. Secondly, the basic theory of fuzzy neutral network is analyzed, the framework of diagram of fuzzy neutral network is confirmed, and the model of fuzzy membership function is constructed.. Thirdly, the training algorithm of fuzzy neutral network based on improved genetic algorithm is designed, and computing method in every step is given in detail. And the Evaluation of suspicious person and system is carried out. Finally, simulation experiments are carried out, and results show that system profit and response efficiency is improved, then fuzzy neutral network can obtain higher system profit and response efficiency.
목차
Abstract 1. Introduction 2. Theory Model of Attack and Defense Decision System for Network Security 3. Basic Theory of Fuzzy Neutral Network 4. Training Algorithm of Fuzzy Neutral Network Based On Improved Genetic Algorithm 5. Evaluation of Suspicious Person and System 6. Simulation Analysis of Optimal Attack and Defense Decision of Network Security 7. Conclusions References
키워드
fuzzy neutral networknetwork securityattack and defense decision
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.10 No.11