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Analysing non-malicious threats to urban smart grids by interrelating threats and threat taxonomies

机译:通过将威胁和威胁分类法相互关联来分析对城市智能电网的非恶意威胁

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A comprehensive study of the smart grid threat landscape is important for designing resilient urban grids of the future. To this end, an analysis could first cross reference threat categorizations and interrelate treat events on the basis of threat lists that complement each other. This paper show how to cross-relate threat taxonomies and analyze relations between threats and system components to reasonably link diverse threats to a smart grid. We illustrate how one can look beyond a specific threat by (1) relating threat sources from one taxonomy to threat lists from other taxonomies; (2) analyzing how threats can be cross-related to identify possible scenarios of undesirable events; and (3) assigning threat categories to system components. These steps in sequence or individually aim to provide input to threat identification and (thus) risk assessment tasks. This paper focusses on threats listed in the IRENE research project and relates them to threat taxonomies used in the AFTER and SESAME projects which focused on smart grids as well.
机译:对智能电网威胁态势的全面研究对于设计未来的弹性城市电网非常重要。为此,分析可以首先交叉引用威胁分类,并根据相互补充的威胁列表相互关联对待事件。本文展示了如何交叉关联威胁分类法并分析威胁与系统组件之间的关系,以将各种威胁合理地链接到智能电网。我们通过(1)将一种分类法的威胁源与其他分类法的威胁列表相关联,来说明如何超越特定威胁。 (2)分析威胁如何相互关联,以识别不良事件的可能情况; (3)将威胁类别分配给系统组件。这些步骤依次或单独地旨在为威胁识别和(因此)风险评估任务提供输入。本文重点关注IRENE研究项目中列出的威胁,并将它们与AFTER和SESAME项目中使用的威胁分类法(也针对智能电网)相关联。

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