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Author (down) Nawel Amokrane; Nicolas Daclin pdf  openurl
  Title Deducing Complex Scenarios for Resilience Analysis: Application to the Franco-German High Speed Train Network Type Conference Article
  Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017  
  Volume Issue Pages 464-474  
  Keywords Resilience; transportation infrastructure; scenario modelling; terrorist attack; risk assessment  
  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.  
  Address Lgi2p – Ema  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Resilience engineering and management Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management  
  Notes Approved no  
  Call Number Serial 2035  
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