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Nawel Amokrane, & Nicolas Daclin. (2017). Deducing Complex Scenarios for Resilience Analysis: Application to the Franco-German High Speed Train Network. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 464–474). Albi, France: Iscram.
Abstract: The present work is part of the project RE(H)STRAIN1 which investigates security and its impact on the resilience of the Franco-German high-speed train network in case of terrorist attacks. To improve the capacity of this network to recover a normal functioning after a terrorist attack, appropriate security measures must be determined. To do so, the project investigates, in a scenario-driven holistic approach the entire terrorist sphere of possible actions. Terrorism threat is first defined as a set of single attacks called vignette attacks represented by the triplet actor – weapon – target, then complex attack scenarios are built considering combination rules detailed in this article. In this regard, this work aims at providing end-users with an approach to automatically deduce a set of formalized, consistent and plausible complex attack scenarios to allow in further steps to analyze and improve the resilience level of the high-speed train transportation infrastructure.