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Analysis and lessons identified on critical infrastructures and dependencies from an empirical data set

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  • Luiijf, Eric
  • Klaver, Marieke

Abstract

The disruption of a Critical Infrastructure (CI) or a Critical Information Infrastructure (CII) may have a serious impact on the society. The pervasive web of CI/CII dependencies has the potential to cause exceptional damage and societal disruption and may be hard to secure and govern. To understand the underlying threat causes of CI and CII disruptions and failures, information on CI/CII disruption incidents has been collected from public news resources for over 15 years. The database resource has been built to analyze and understand the phenomena and consequences of CI and CII disruptions and failures including dependencies, cascading effects, and good and bad practices. Another purpose of the database is to identify lessons. The information collected in the period 2004 - 2018 on CI/CII disruptions helps to understand the discrepancies between the way in which the population experiences CI/CII disruptions and cascading impact and the outcomes of theoretical dependency models. This paper therefore updates, extends, and deepens our earlier empirical findings for the period 2004 – 2010.

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  • Luiijf, Eric & Klaver, Marieke, 2021. "Analysis and lessons identified on critical infrastructures and dependencies from an empirical data set," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    • Handle: RePEc:eee:ijocip:v:35:y:2021:i:c:s1874548221000585
    DOI: 10.1016/j.ijcip.2021.100471
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    References listed on IDEAS

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    1. Setola, Roberto & De Porcellinis, Stefano & Sforna, Marino, 2009. "Critical infrastructure dependency assessment using the input–output inoperability model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 2(4), pages 170-178.
    2. Manuel R. Guariguata & Robin L. Chazdon & Pedro H. S. Brancalion & Lindenmayer David, 2019. "Forests: when natural regeneration is unrealistic," Nature, Nature, vol. 570(7760), pages 164-164, June.
    3. Olaf Jonkeren & Georgios Giannopoulos, 2014. "Analysing Critical Infrastructure Failure With A Resilience Inoperability Input--Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 39-59, March.
    4. Amaral, Ernesto F. L., 2015. "Profile of Female Sterilization in Brazil, 2001--2006," Working Papers 1092-1, RAND Corporation.
    5. Baryshnikova, Nadezhda V. & Pham, Ngoc T.A., 2019. "Natural disasters and mental health: A quantile approach," Economics Letters, Elsevier, vol. 180(C), pages 62-66.
    6. OECD & World Bank, 2019. "Fiscal Resilience to Natural Disasters," World Bank Publications - Books, The World Bank Group, number 32341, December.
    7. Panayiotis Kotzanikolaou & Marianthi Theoharidou & Dimitris Gritzalis, 2013. "Assessing n-order dependencies between critical infrastructures," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 9(1/2), pages 93-110.
    8. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    9. Ernesto F. L. Amaral, 2015. "Profile of Female Sterilization in Brazil, 2001—2006," Working Papers WR-1092-1, RAND Corporation.
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