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Time Independent Security Analysis for Dynamic Networks Using Graphical Security Models

机译:使用图形安全模型对动态网络进行时间无关的安全性分析

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摘要

It is technically challenging to conduct a security analysis of a dynamic network, due to the lack of methods and techniques to capture different security postures as the network changes. Graphical Security Models (e.g., Attack Graph) are used to assess the security of network systems, but it typically captures a snapshot of a network state to carry out the security analysis. To address this issue, we propose a new Graphical Security Model named Time-independent Hierarchical Attack Representation Model (Ti-HARM) that captures security of multiple network states by taking into account the time duration of each network state and the visibility of network components (e.g., hosts, edges) in each state. By incorporating the changes, we can analyse the security of dynamic networks taking into account all the threats appearing in different network states. Our experimental results show that the Ti-HARM can effectively capture and assess the security of dynamic networks which were not possible using existing graphical security models.
机译:由于缺乏在网络变化时捕获不同安全状态的方法和技术,因此对动态网络进行安全分析在技术上具有挑战性。图形安全模型(例如,攻击图)用于评估网络系统的安全性,但通常会捕获网络状态的快照以进行安全性分析。为解决此问题,我们提出了一种新的图形安全模型,称为时间无关的分层攻击表示模型(Ti-HARM),该模型通过考虑每个网络状态的持续时间和网络组件的可见性来捕获多个网络状态的安全性( (例如主机,边缘)在每种状态下。通过合并这些更改,我们可以考虑到在不同网络状态下出现的所有威胁,来分析动态网络的安全性。我们的实验结果表明,Ti-HARM可以有效地捕获和评估动态网络的安全性,而这是使用现有图形安全模型无法实现的。

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