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Modelling critical infrastructure via a mixed holistic reductionistic approach

Author

Listed:
  • Stefano De Porcellinis
  • Stefano Panzieri
  • Roberto Setola

Abstract

Infrastructure systems and their interaction mechanisms can be interpreted following a multitude of different approaches, depending on different perspectives and levels of abstraction. In this paper, we propose a mixed approach, in which different representations of the same infrastructure is used in order to define the interdependencies and interactions among infrastructures and their elements. We explicitly introduce into our model the three concepts of: infrastructure, component and interaction; and model, on one hand, intra-domain dependencies with a reductionistic approach and, on the other hand, inter-domain dependencies mainly using a holistic vision.

Suggested Citation

  • Stefano De Porcellinis & Stefano Panzieri & Roberto Setola, 2009. "Modelling critical infrastructure via a mixed holistic reductionistic approach," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(1/2), pages 86-99.
    • Handle: RePEc:ids:ijcist:v:5:y:2009:i:1/2:p:86-99
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    Citations

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    Cited by:

    1. Zhang, Zili & Li, Xiangyang & Li, Hengyun, 2015. "A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 3-15.
    2. Adamsky, F. & Aubigny, M. & Battisti, F. & Carli, M. & Cimorelli, F. & Cruz, T. & Di Giorgio, A. & Foglietta, C. & Galli, A. & Giuseppi, A. & Liberati, F. & Neri, A. & Panzieri, S. & Pascucci, F. & Pr, 2018. "Integrated protection of industrial control systems from cyber-attacks: the ATENA approach," International Journal of Critical Infrastructure Protection, Elsevier, vol. 21(C), pages 72-82.
    3. Hossain, Niamat Ullah Ibne & Jaradat, Raed & Hosseini, Seyedmohsen & Marufuzzaman, Mohammad & Buchanan, Randy K., 2019. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 62-83.
    4. Katina, Polinpapilinho F. & Ariel Pinto, C. & Bradley, Joseph M. & Hester, Patrick T., 2014. "Interdependency-induced risk with applications to healthcare," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(1), pages 12-26.
    5. 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.
    6. Heracleous, Constantinos & Kolios, Panayiotis & Panayiotou, Christos G. & Ellinas, Georgios & Polycarpou, Marios M., 2017. "Hybrid systems modeling for critical infrastructures interdependency analysis," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 89-101.
    7. Castrucci, Marco & Neri, Alessandro & Caldeira, Filipe & Aubert, Jocelyn & Khadraoui, Djamel & Aubigny, Matthieu & Harpes, Carlo & Simões, Paulo & Suraci, Vincenzo & Capodieci, Paolo, 2012. "Design and implementation of a mediation system enabling secure communication among Critical Infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 5(2), pages 86-97.

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