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Vulnerability modeling and analysis for critical infrastructure protection applications

Author

Listed:
  • Marrone, Stefano
  • Nardone, Roberto
  • Tedesco, Annarita
  • D'Amore, Pasquale
  • Vittorini, Valeria
  • Setola, Roberto
  • De Cillis, Francesca
  • Mazzocca, Nicola

Abstract

Effective critical infrastructure protection requires methodologies and tools for the automated evaluation of the vulnerabilities of assets and the efficacy of protection systems. This paper presents a modeling language for vulnerability analysis in critical infrastructure protection applications. The language extends the popular Unified Modeling Language (UML) to provide vulnerability and protection modeling functionality. The extended language provides an abstract representation of concepts and activities in the infrastructure protection domain that enables model-to-model transformations for analysis purposes. The application of the language is demonstrated through a use case that models vulnerabilities and physical protection systems in a railway station.

Suggested Citation

  • Marrone, Stefano & Nardone, Roberto & Tedesco, Annarita & D'Amore, Pasquale & Vittorini, Valeria & Setola, Roberto & De Cillis, Francesca & Mazzocca, Nicola, 2013. "Vulnerability modeling and analysis for critical infrastructure protection applications," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 217-227.
    • Handle: RePEc:eee:ijocip:v:6:y:2013:i:3:p:217-227
    DOI: 10.1016/j.ijcip.2013.10.001
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    References listed on IDEAS

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    1. Ebrahim Bagheri & Ali A. Ghorbani, 2010. "UML-CI: A reference model for profiling critical infrastructure systems," Information Systems Frontiers, Springer, vol. 12(2), pages 115-139, April.
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    Cited by:

    1. Lombardi, Pio & Hänsch, Kathleen & Arendarski, Bartlomiej & Komarnicki, Przemyslaw, 2017. "Information and power terminals: A reliable microgrid infrastructure for use in disaster scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 19(C), pages 49-58.
    2. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    3. Nan, Cen & Sansavini, Giovanni, 2015. "Multilayer hybrid modeling framework for the performance assessment of interdependent critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 10(C), pages 18-33.
    4. Hadi Alizadeh & Ayyoob Sharifi, 2020. "Assessing Resilience of Urban Critical Infrastructure Networks: A Case Study of Ahvaz, Iran," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    5. Argenti, Francesca & Landucci, Gabriele & Reniers, Genserik & Cozzani, Valerio, 2018. "Vulnerability assessment of chemical facilities to intentional attacks based on Bayesian Network," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 515-530.
    6. Puuska, Samir & Rummukainen, Lauri & Timonen, Jussi & Lääperi, Lauri & Klemetti, Markus & Oksama, Lauri & Vankka, Jouko, 2018. "Nationwide critical infrastructure monitoring using a common operating picture framework," International Journal of Critical Infrastructure Protection, Elsevier, vol. 20(C), pages 28-47.
    7. Seppänen, Hannes & Luokkala, Pekka & Zhang, Zhe & Torkki, Paulus & Virrantaus, Kirsi, 2018. "Critical infrastructure vulnerability—A method for identifying the infrastructure service failure interdependencies," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 25-38.
    8. Palleti, Venkata Reddy & Joseph, Jude Victor & Silva, Arlindo, 2018. "A contribution of axiomatic design principles to the analysis and impact of attacks on critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 23(C), pages 21-32.
    9. Xi Hu & Jim W. Hall & Peijun Shi & Wee Lim, 2016. "The spatial exposure of the Chinese infrastructure system to flooding and drought hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1083-1118, January.
    10. Xi Hu & Jim W. Hall & Peijun Shi & Wee Ho Lim, 2016. "The spatial exposure of the Chinese infrastructure system to flooding and drought hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 1083-1118, January.
    11. Abigail Luxton & Marin Marinov, 2020. "Terrorist Threat Mitigation Strategies for the Railways," Sustainability, MDPI, vol. 12(8), pages 1-21, April.
    12. Mrinal Kanti Sen & Subhrajit Dutta & Golam Kabir, 2021. "Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    13. Abedi, Amin & Romerio, Franco, 2020. "Multi-period vulnerability analysis of power grids under multiple outages: An AC-based bilevel optimization approach," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    14. Gentile, U. & Marrone, S. & Nardone, R. & Bellini, E., 2020. "Computer-aided security assessment of water networks monitoring platforms," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).

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