Abstract
Many methodologies proposed in the literature for modelling and simulating the behaviour of critical infrastructures (CIs) in response to disruptive events are based on exhaustive analytic models, require extensive amounts of data and suffer from high computational burden. These factors restrain their applicability in practical policy making processes, which often require higher flexibility and efficiency in the delivery of analysis and prediction results. Taking these constraints into consideration, in this paper we propose a resilience-oriented framework for the high-level analysis of networked CIs, based on the concept of functional representation of interdependencies. We also show the usefulness of the proposed methodology to improve the operability of the network by appropriately tuning relevant parameters of selected assets according to an optimisation algorithm aiming at the improvement of the overall resilience of the CI network. This feature ultimately provides a guidance for selecting proper strategies to bound the propagation of damages across interdependent assets/infrastructures.
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References
Bashan, A., Berezin, Y., Buldyrev, S.V., Havlin, S.: The extreme vulnerability of interdependent spatially embedded networks. Nat. Phys. 9(10), 667–672 (2013)
Edwards, M.: Critical Infrastructure Protection, vol. 116. IOS Press, Amsterdam (2014)
Eusgeld, I., Kröger, W., Sansavini, G., Schläpfer, M., Zio, E.: The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures. Reliab. Eng. Syst. Saf. 94(5), 954–963 (2009)
Rinaldi, S.M., Peerenboom, J.P., Kelly, T.K.: Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Syst. 21(6), 11–25 (2001)
Locke, G., Gallagher, P.D.: NIST framework and roadmap for smart grid interoperability standards, release 1.0. National Institute of Standards and Technology, p. 33 (2010)
Galbusera, L., Theodoridis, G., Giannopoulos, G.: Intelligent energy systems: introducing power-ICT interdependency in modeling and control design. IEEE Trans. Ind. Electron. 62(4), 2468–2477 (2015)
Woods, D.D., Leveson, N., Hollnagel, E.: Resilience Engineering: Concepts and Precepts. Ashgate Publishing Ltd, Farnham (2012)
Ouyang, M.: Review on modeling and simulation of interdependent critical infrastructure systems. Reliab. Eng. Syst. Saf. 121, 43–60 (2014)
Filippini, R., Silva, A.: A modeling framework for the resilience analysis of networked systems-of-systems based on functional dependencies. Reliab. Eng. Syst. Saf. 125, 82–91 (2014)
Vugrin, E.D., Turnquist, M.A., Brown, N.J.: Optimal recovery sequencing for critical infrastructure resilience assessment. Sandia National Laboratories (SNL-NM), Albuquerque. Technical Report SAND2010-6237 (2010)
Kirkpatrick, S., Gelatt Jr., C.D., Vecchi, M.P.: Optimization by simulated annealing. Science 220(4598), 671–680 (1983)
Press, W.H.: Numerical Recipes: The Art of Scientific Computing. Cambridge University Press, New York (2007)
Vugrin, E.D., Camphouse, R.C., Sunderland, D.: Quantitative resilience analysis through control design. Sandia National Laboratories (SNL-NM), Albuquerque, NM, USA. Technical Report SAND2009-5957 (2009)
Vugrin, E.D., Camphouse, R.C.: Infrastructure resilience assessment through control design. Int. J. Crit. Infrastruct. 7(3), 243–260 (2011)
Deckers, J., Jepsen, O.N., Latzel, S., Metz, H., Stuecher, R.: Condition monitoring and failure diagnosis in plants of the metals industry. In: Fault Detection, Supervision and Safety of Technical Processes 2003 (SAFEPROCESS 2003): A Proceedings Volume from the 5th IFAC Symposium, Washington, DC, 9–11 June 2003, vol. 1, p. 453. Elsevier (2004)
Acknowledgment
This work is supported by the Annual Work Programme 2010 and 2012 for the specific programme on the “Prevention, Preparedness and Consequence Management of Terrorism and other Security-related Risks (CIPS)”, which is financed by Directorate General Home Affairs of the European Commission. The authors would like to express their gratitude for this support.
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Galbusera, L., Azzini, I., Giannopoulos, G. (2016). A Methodology for Resilience Optimisation of Interdependent Critical Infrastructures. 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_5
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DOI: https://doi.org/10.1007/978-3-319-33331-1_5
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