Critical Infrastructures are known for their complexity and the strong interdependencies between the various components. As a result, cascading effects can have devastating consequences, while foreseeing the overall impact of a particular incident is not straight-forward at all and goes beyond performing a simple risk analysis. This work presents a graph-based approach for conducting dynamic risk analyses, which are programmatically generated from a threat model and an inventory of assets. In contrast to traditional risk analyses, they can be kept automatically up-to-date and show the risk currently faced by a system in real-time. The concepts are applied to and validated in the context of the smart grid infrastructure currently being deployed in Luxembourg.
CITATION STYLE
Muller, S., Harpes, C., Le Traon, Y., Gombault, S., Bonnin, J. M., & Hoffmann, P. (2017). Dynamic risk analyses and dependency-aware root cause model for critical infrastructures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10242 LNCS, pp. 163–175). Springer Verlag. https://doi.org/10.1007/978-3-319-71368-7_14
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