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Resilience Assessment of Interdependent Critical Infrastructure

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Critical Information Infrastructures Security (CRITIS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9578))

Abstract

Recent extreme events have shown that total protection can not be accomplished. Therefore, Critical Infrastructure Protection (CIP) strategies should focus not only on the prevention of these events but also on the response and recovery following them. This shift in CIP strategies has put more interest on the concept of infrastructure resilience. In this paper, we address the problem of assessing critical infrastructure resilience. We first define the infrastructure attributes that make it resilient. Then, we propose a modeling framework to capture these attributes. After that, a resilience index is introduced to quantify the resilience of infrastructure systems. Finally, the usefulness of the proposed framework is demonstrated through an illustrative example.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, UBC, Vancouver, Canada

    Abdullah Alsubaie, Khaled Alutaibi & José Martí

  2. King AbdulAziz City for Science and Technology, Riyadh, Saudi Arabia

    Abdullah Alsubaie

  3. Civil Defence, Ministry of Interior, Riyadh, Saudi Arabia

    Khaled Alutaibi

Authors
  1. Abdullah Alsubaie
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  2. Khaled Alutaibi
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  3. José Martí
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Corresponding author

Correspondence to Abdullah Alsubaie .

Editor information

Editors and Affiliations

  1. Autonomus Intelligent Systems, Fraunhofer Institute, Sankt Augustin, Nordrhein-Westfalen, Germany

    Erich Rome

  2. Inst. Protec. & Security Citizen, Ispra, Italy

    Marianthi Theocharidou

  3. University of London, London, United Kingdom

    Stephen Wolthusen

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Alsubaie, A., Alutaibi, K., Martí, J. (2016). Resilience Assessment of Interdependent Critical Infrastructure. In: Rome, E., Theocharidou, M., Wolthusen, S. (eds) Critical Information Infrastructures Security. CRITIS 2015. Lecture Notes in Computer Science(), vol 9578. Springer, Cham. https://doi.org/10.1007/978-3-319-33331-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-33331-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33330-4

  • Online ISBN: 978-3-319-33331-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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