Computer network vulnerability analysis is a method of analysis and evaluation of network security beforehand. The attacks method has occurred in the network, the previous network status change as input information, calculated by the model analysis. Forecasting network node may be network attacks given the current security level value network, network security reinforcement measures taken before the danger. Administrators can proactively identify network security issues, to take measures in advance to avoid information leakage, financial losses, ensure the safety of individuals and countries. Therefore, vulnerability analysis computer network is very important. Based on the properties of attack graph shows the method of attack graphs to Bayesian network transformation, using the new algorithm to eliminate loops attribute attack graph optimization, building the Bayesian attribute attack graph model used to evaluate the network itself security situation. In this model, based on Bayes formula for calculating the probability of a new node probability calculation formula and attack paths occur for calculating network vulnerability assessment of the quantitative indicators. The model not only can visually process description of cyber attacks, but also into the Bayesian network probabilistic thinking of possible network attack path prediction and assessment.
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.12