ITM Web of Conferences (Jan 2019)

Research on Network Security Quantitative Model Based on Probabilistic Attack Graph

  • Cui Yimin,
  • Li Junmei,
  • Zhao Wei,
  • Luan Cheng

DOI
https://doi.org/10.1051/itmconf/20192402003
Journal volume & issue
Vol. 24
p. 02003

Abstract

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In order to identify the threat of computer network security and evaluate its fragility comprehensively, the related factors of network security are studied, and the methods based on attack graph are improved. Based on the attribute attack graph, the probabilistic attack graph model is generated by adding various factors which affect network security. The model uses security equipment performance data, common vulnerability scoring system data and etc. to calculate priori probability, finally obtains the network security index, and carries on the exploratory analysis. The experimental results show that the model is feasible and effective. Compared with other vulnerability assessment methods, the model has the characteristics of comprehensive evaluation and concise calculation.