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Author (up) Stefan Schauer; Stefan Rass; Sandra König; Thomas Grafenauer; Martin Latzenhofer pdf 
  Title Analyzing Cascading Effects among Critical Infrastructures Type Conference Article
  Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018  
  Volume Issue Pages 428-437  
  Keywords Cascading effects; interdependent critical infrastructures; Markov chains; simulation  
  Abstract In this article, we present a novel approach, which allows not only to identify potential cascading effects within a network of interrelated critical infrastructures but also supports the assessment of these cascading effects. Based on percolation theory and Markov chains, our method models the interdependencies among various infrastructures and evaluates the possible consequences if an infrastructure has to reduce its capacity or is failing completely, by simulating the effects over time. Additionally, our approach is designed to take the intrinsic uncertainty into account, which resides in the description of potential consequences a failing critical infrastructure might cause, by using probabilistic state transitions. In this way, not only the critical infrastructure’s risk and security managers are able to evaluate the consequences of an incident anywhere in the network but also the emergency services can use this information to improve their operation in case of a crisis and anticipate potential trouble spots.  
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  Corporate Author Thesis  
  Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszewski  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium  
  Track Planning, Foresight and Risk Analysis Expedition Conference ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management  
  Notes stefan.schauer@ait.ac.at Approved no  
  Call Number Serial 1568  
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