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A Novel Network Modeling and Evaluation Approach for Security Vulnerability Quantification in Substation Automation Systems

机译:变电站自动化系统中安全漏洞量化的新型网络建模与评估方法

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With the proliferation of smart grids and the construction of various electric IT systems and networks, a next-generation substation automation system (SAS) based on IEC 61850 has been agreed upon as a core element of smart grids. However, research on security vulnerability analysis and quantification for automated substations is still in the preliminary phase. In particular, it is not suitable to apply existing security vulnerability quantification approaches to IEC 61850-based SAS because of its heterogeneous characteristics. In this paper, we propose an IEC 61850-based SAS network modeling and evaluation approach for security vulnerability quantification. The proposed approach uses network-level and device groupings to categorize the characteristic of the SAS. In addition, novel attack scenarios are proposed through a zoning scheme to evaluate the network model. Finally, an MTTC (Mean Time-to-Compromise) scheme is used to verify the proposed network model using a sample attack scenario.
机译:随着智能电网的普及以及各种电气IT系统和网络的建设,已经同意基于IEC 61850的下一代变电站自动化系统(SAS)作为智能电网的核心要素。但是,对自动化变电站安全漏洞分析和量化的研究仍处于初步阶段。特别是,由于其异构特性,因此不适合将现有的安全漏洞量化方法应用于基于IEC 61850的SAS。在本文中,我们提出了一种基于IEC 61850的SAS网络建模和评估方法来量化安全漏洞。所提出的方法使用网络级别和设备分组来对SAS的特征进行分类。此外,通过分区方案提出了新颖的攻击方案,以评估网络模型。最后,使用MTTC(平均无损时间)方案使用样本攻击场景来验证建议的网络模型。

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