Extended Abstract: Access Graph Based Risk Analysis for Network Information System

Xiaochun Xiao, Tiange Zhang, Gendu Zhang
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引用次数: 2

Abstract

Currently, the risk analysis for network Information system has experienced a stage from rule-based questionnaire investigation to model-based assessment. Many graph-based models have been proposed and applied to risk analysis. Attack Graph is widely used one. But attack graphs grow exponentially with the size of the network. In this paper, we propose a comprehensive framework for network vulnerabilities modeling and risk analysis based on the access graph. As a complement to the attack graph approach, the access graph is host-centric approach, which grows polynomially with the number of hosts and so has the benefit of being computationally feasible on large networks. Compared with related works, our approach improves in both performance and computational cost.
基于访问图的网络信息系统风险分析
目前,网络信息系统风险分析经历了从基于规则的问卷调查到基于模型的评估的阶段。许多基于图的模型已被提出并应用于风险分析。攻击图是一种应用广泛的攻击图。但是攻击图随着网络的规模呈指数增长。本文提出了一种基于访问图的网络漏洞建模和风险分析的综合框架。作为攻击图方法的补充,访问图是一种以主机为中心的方法,它随着主机数量的增加而多项式增长,因此在大型网络中具有计算可行性。与相关工作相比,我们的方法在性能和计算成本上都有提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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