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Analyzing Disaster-Induced Cascading Effects in Hybrid Critical Infrastructures: A Practical Approach

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Guide to Disaster-Resilient Communication Networks

Abstract

Critical Infrastructures (CIs) now include complex cyber-physical systems, with communication networks enabling interactions between the cyber and physical systems. Although the digitalization of such critical infrastructures is intended to increase performance and safety, it also subjects them to new forms of attack. Contemporary attacks that combine both cyber and physical elements are often targeting these critical infrastructures. Recent incidents have shown that it is important to have a holistic view of a CI, including the communication networks at its core, in order to understand the potential attacks on it, as well as the consequences. It is therefore imperative to analyze potential cascading effects enabled by dependencies between the various assets in such a Critical Infrastructure. In this chapter, we describe an approach to modelling the dependencies between assets in a CI and analyze the potential for, and the nature of, these cascading effects.

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References

  1. AIT (2019) SAURON propagation engine editor. https://atlas.ait.ac.at/sauron/

  2. Bateman T (2013) Police warning after drug traffickers’ cyber-attack. www.bbc.com/news/world-europe-24539417

  3. Carreras B, Newman D, Gradney P, Lynch V, Dobson I (2007) Interdependent risk in interacting infrastructure systems. In: 2007 40th Annual Hawaii International Conference on System Sciences (HICSS’07), IEEE, pp 112–112. https://doi.org/10.1109/HICSS.2007.285

  4. Cimpanu C (2017) WannaCry ransomware infects actual medical devices, not just computers. https://www.bleepingcomputer.com/news/security/wannacry-ransomware-infects-actual-medical-devices-not-just-computers/

  5. Condliffe J (2016) Ukraine’s power grid gets hacked again, a worrying sign for infrastructure attacks. https://www.technologyreview.com/s/603262/ukraines-power-grid-gets-hacked-again-a-worrying-sign-for-infrastructure-attacks/

  6. European Parliament, European Council: Directive (EU) 2016/ 1148 of 6 July 2016—concerning measures for a high common level of security of network and information systems across the union (2016)

    Google Scholar 

  7. Gouglidis A, König S, Green B, Rossegger K, Hutchison D (2018) Protecting water utility networks from advanced persistent threats: a case study. Springer International Publishing, Cham, pp 313–333. https://doi.org/10.1007/978-3-319-75268-6_13

  8. Greenerg A (2018) The untold story of NotPetya, the most devastating cyberattck in history. https://www.wired.com/story/notpetya-cyberattack-ukraine-russia-code-crashed-the-world/

  9. Guo H, Zheng C, Iu HHC, Fernando T (2017) A critical review of cascading failure analysis and modeling of power system. Renew Sustain Energy Rev 80:9–22. https://doi.org/10.1016/j.rser.2017.05.206

    Article  Google Scholar 

  10. ICS-CERT (2016) Cyber-attack against Ukrainian critical infrastructure. https://ics-cert.us-cert.gov/alerts/IR-ALERT-H-16-056-01

  11. ISO International Organization for Standardization (2018) ISO 31000:2018 risk management—guidelines. ISO International Organization for Standardization, Geneva, Switzerland

    Google Scholar 

  12. König S, Gouglidis A (2018) Random damage in interconnected networks. In: Game Theory for Security and Risk Management. Springer International Publishing, pp 185–201. https://doi.org/10.1007/978-3-319-75268-6_8

  13. König S, Gouglidis A, Green B, Solar A (2018) Assessing the impact of malware attacks in utility networks. In: Game Theory for Security and Risk Management. Springer, pp 335–351

    Google Scholar 

  14. König S, Grafenauer T, Rass S, Schauer S (2018) Practical risk analysis in interdependent critical infrastructures—a How-To. In: Proceedings of the Twelfth International Conference on Emerging Security Information, Systems and Technologies, pp 150–157

    Google Scholar 

  15. König S, Rass S (2018) Investigating stochastic dependencies between critical infrastructures. Int J Adv Syst Meas 11(3&4):250–258

    Google Scholar 

  16. König S, Rass S, Rainer B, Schauer S (2019) Hybrid dependencies between cyber and physical systems. In: Advances in Intelligent Systems and Computing. Springer International Publishing, pp 550–565. https://doi.org/10.1007/978-3-030-22868-2_40

  17. König S, Rass S, Schauer S (2019) Cyber-attack impact estimation for a port. In: Proceedings of the Hamburg International Conference of Logistics (HICL). epubli. https://doi.org/10.15480/882.2496

  18. Ouyang M (2014) Review on modeling and simulation of interdependent critical infrastructure systems. Reliab Eng Syst Saf 121:43–60. https://doi.org/10.1016/j.ress.2013.06.040

    Article  Google Scholar 

  19. Pagani GA, Aiello M (2013) The power grid as a complex network: a survey. Phys A Stat Mech Appl 392(11):2688–2700. https://doi.org/10.1016/j.physa.2013.01.023

    Article  MathSciNet  MATH  Google Scholar 

  20. Rahnamay-Naeini M, Wang Z, Ghani N, Mammoli A, Hayat MM (2014) Stochastic analysis of cascading-failure dynamics in power grids. IEEE Trans Power Syst 29(4):1767–1779. https://doi.org/10.1109/TPWRS.2013.2297276

    Article  Google Scholar 

  21. Rass S (2019) Report about methods for a semi-automated parameterization of (percolation-based) simulation models. Tech rep, Internal Report of the SAURON Project (2019). V3.2

    Google Scholar 

  22. SAURON Consortium: Sauron: Scalable multidimensionAl sitUation awaReness sOlution for protectiNg european ports (2019)

    Google Scholar 

  23. Starmer C (2000) Developments in non-expected utility theory: the hunt for a descriptive theory of choice under risk. J Econ Lit 38(2):332–382 (2000). http://www.jstor.org/stable/2565292

  24. Wang Z, Scaglione A, Thomas RJ (2012) A Markov-transition model for cascading failures in power grids. In: 2012 45th Hawaii International Conference on System Sciences. IEEE, pp 2115–2124. https://doi.org/10.1109/HICSS.2012.63

  25. Wu SJ, Chu MT (2017) Markov chains with memory, tensor formulation, and the dynamics of power iteration. Appl Math Comput 303:226–239. https://doi.org/10.1016/j.amc.2017.01.030

    Article  MathSciNet  MATH  Google Scholar 

  26. Zetter K (2016) Everything we know about Ukraine’s power plant hack | WIRED. https://www.wired.com/2016/01/everything-we-know-about-ukraines-power-plant-hack/

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Acknowledgements

This chapter is based on work from COST Action CA15127 (“Resilient communication services protecting end-user applications from disaster-based failures – RECODIS”) supported by COST (European Cooperation in Science and Technology), and the European Commission’s Project SAURON (Scalable multidimensional situation awareness solution for protecting European ports) under the HORIZON 2020 Framework (Grant No. 740477).

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Correspondence to Sandra König .

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König, S., Gouglidis, A., Rass, S., Adams, N., Smith, P., Hutchison, D. (2020). Analyzing Disaster-Induced Cascading Effects in Hybrid Critical Infrastructures: A Practical Approach. In: Rak, J., Hutchison, D. (eds) Guide to Disaster-Resilient Communication Networks. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-44685-7_31

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  • DOI: https://doi.org/10.1007/978-3-030-44685-7_31

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