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UML-CI: A reference model for profiling critical infrastructure systems

Author

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  • Ebrahim Bagheri

    (University of New Brunswick)

  • Ali A. Ghorbani

    (University of New Brunswick)

Abstract

The study of critical infrastructure systems organization and behavior has drawn great attention in the recent years. This is in part due to their great influence on the ordinary life of every citizen. In this paper, we study critical infrastructures’ characteristics and propose a reference model based on the Unified Modeling Language (UML). This reference model attempts to provide suitable means for the task of modeling an infrastructure system through offering five major metamodels. We introduce each of these metamodels and explain how it is possible to integrate them into a unique representation to characterize various aspects of an infrastructure system. Based on the metamodels of UML-CI, infrastructure system knowledge bases can be built to aid the process of infrastructure system modeling, profiling, and management.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:infosf:v:12:y:2010:i:2:d:10.1007_s10796-008-9127-y
    DOI: 10.1007/s10796-008-9127-y
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    References listed on IDEAS

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    4. Ali A. Ghorbani & Ebrahim Bagheri, 2008. "The state of the art in critical infrastructure protection: a framework for convergence," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(3), pages 215-244.
    5. Basu, N & Pryor, R & Quint, T, 1998. "ASPEN: A Microsimulation Model of the Economy," Computational Economics, Springer;Society for Computational Economics, vol. 12(3), pages 223-241, December.
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    Cited by:

    1. Kampova, Katarina & Lovecek, Tomas & Rehak, David, 2020. "Quantitative approach to physical protection systems assessment of critical infrastructure elements: Use case in the Slovak Republic," International Journal of Critical Infrastructure Protection, Elsevier, vol. 30(C).
    2. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas & Novotny, Petr, 2018. "Cascading Impact Assessment in a Critical Infrastructure System," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 125-138.
    3. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    4. Stephan Berger & Björn Häckel & Lukas Häfner, 2021. "Organizing Self-Organizing Systems: A Terminology, Taxonomy, and Reference Model for Entities in Cyber-Physical Production Systems," Information Systems Frontiers, Springer, vol. 23(2), pages 391-414, April.
    5. 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.
    6. 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.
    7. 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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