Research on the risk adjacency matrix based on attack graphs

YE Yun; XU Xi-shan; JIA Yan; QI Zhi-chang; CHENG Wen-cong

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Research on the risk adjacency matrix based on attack graphs

更新时间：2024-10-14

- Research on the risk adjacency matrix based on attack graphs
- Vol. 32, Issue 5, Pages: 112-120(2011)
- 作者机构：
  
  国防科技大学计算机学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.08
- Published：2011
- 稿件说明：
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YE Yun, XU Xi-shan, JIA Yan, et al. Research on the risk adjacency matrix based on attack graphs[J]. 2011, 32(5): 112-120.
DOI：

YE Yun, XU Xi-shan, JIA Yan, et al. Research on the risk adjacency matrix based on attack graphs[J]. 2011, 32(5): 112-120. DOI：

摘要

针对各种已知的工具产生的攻击图十分复杂而且难以理解的问题

提出一种基于攻击图的风险邻接矩阵方法

并通过实验验证了所提方法的合理性和有效性。结果表明风险邻接矩阵方法增强了攻击图可视化的程度

并简洁有效地解决了风险评估中由环和回路带来的重复计算问题。

Abstract

Aimed at the problem that the difficulty to understand the very complicated attack graphs generated by a variety of existing tools

a method of RAM（risk adjacency matrix） based on attack graphs was proposed

and feasibility and efficient of proposed method was verified in experiment.The experimental results on the network showed that visualization of attack graphs was extended significantly

and the re-computing problem caused by the rings and loops in the risk assessment was solved in a simple and efficient way.

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FANG Bin-xing1

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Related Institution

Institute of Computing Technology, Chinese Academy of Sciences

National Computer Network Emergency Response Technical Team/Coordination Center of China

Graduate University of Chinese Academy of Sciences

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