Threat navigator: grouping and ranking malicious external threats to current and future urban smart grids

Research Area: Uncategorized Year: 2016
Type of Publication: In Proceedings Keywords: Smart Grid, Threat Assessment, FAIR, NIST, Risk Analysis
Authors: Alexandr Vasenev; Lorena Montoya; Andrea Ceccarelli; Anhtuan Le; Dan Ionita
Book title: 1st EAI International Conference on Smart Grid Inspired
Pages: 8
Deriving value judgements about threat rankings for large and entangled systems, such as those of urban smart grids, is a challenging task. Suitable approaches should account for multiple threat events posed by different classes of attackers who target system components. Given the complexity of the task, a suitable level of guidance for ranking more relevant and filtering out the less relevant threats is desirable. This requires a method able to distil the list of all possible threat events in a traceable and repeatable manner, given a set of assumptions about the attackers. The Threat Navigator proposed in this paper tackles this issue. Attacker profiles are described in terms of Focus (linked to Actor-to-Asset relations) and Capabilities (Threat-to-Threat dependencies). The method is demonstrated on a sample urban Smart Grid. The ranked list of threat events obtained is useful for a risk analysis that ultimately aims at finding cost-effective mitigation strategies.

Resilient Computing Lab, 2011

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