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Computer Network Vulnerability Assessment and Safety Evaluation Application based on Bayesian Theory

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSIA) 바로가기
  • 간행물
    International Journal of Security and Its Applications SCOPUS 바로가기
  • 통권
    Vol.10 No.12 (2016.12)바로가기
  • 페이지
    pp.359-368
  • 저자
    Liang Huang, Xinhao Chen, Xinsheng Lai
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A298096

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원문정보

초록

영어
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.

목차

Abstract
 1. Introduction
 2. Network Security Evaluation Theory
  2.1 Attack Graph Technology
  2.2 Bayesian Attribute Attack Graph Vulnerability Assessment Method
  2.3 Network Security Elements
 3. Bayesian Attribute Attack Graph Model
  3.1 Model Definition
  3.2 Classified Network Security Assessment Technology
 4. Experiment and Analysis
  4.1 Automated Network Modeling
  4.2 Experiment Analysis
 5. Conclusions
 References

키워드

Quantitative evaluation Bayesian network Exponential distribution attribute attacks

저자

  • Liang Huang [ School of Mathematics & Computer Science, Shangrao Normal University, China ]
  • Xinhao Chen [ School of Mathematics & Computer Science, Shangrao Normal University, China ]
  • Xinsheng Lai [ School of Mathematics & Computer Science, Shangrao Normal University, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    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 505 DDC 605

이 권호 내 다른 논문 / International Journal of Security and Its Applications Vol.10 No.12

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