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Building Resilience in Cybersecurity -- An Artificial Lab Approach

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  • Kerstin Awiszus
  • Yannick Bell
  • Jan Luttringhaus
  • Gregor Svindland
  • Alexander Vo{ss}
  • Stefan Weber

Abstract

Based on classical contagion models we introduce an artificial cyber lab: the digital twin of a complex cyber system in which possible cyber resilience measures may be implemented and tested. Using the lab, in numerical case studies, we identify two classes of measures to control systemic cyber risks: security- and topology-based interventions. We discuss the implications of our findings on selected real-world cybersecurity measures currently applied in the insurance and regulation practice or under discussion for future cyber risk control. To this end, we provide a brief overview of the current cybersecurity regulation and emphasize the role of insurance companies as private regulators. Moreover, from an insurance point of view, we provide first attempts to design systemic cyber risk obligations and to measure the systemic risk contribution of individual policyholders.

Suggested Citation

  • Kerstin Awiszus & Yannick Bell & Jan Luttringhaus & Gregor Svindland & Alexander Vo{ss} & Stefan Weber, 2022. "Building Resilience in Cybersecurity -- An Artificial Lab Approach," Papers 2211.04762, arXiv.org, revised Sep 2023.
    • Handle: RePEc:arx:papers:2211.04762
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    References listed on IDEAS

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    1. Trey Herr, 2021. "Cyber insurance and private governance: The enforcement power of markets," Regulation & Governance, John Wiley & Sons, vol. 15(1), pages 98-114, January.
    2. Louise Marie Hurel & Luisa Cruz Lobato, 2018. "Unpacking cyber norms: private companies as norm entrepreneurs," Journal of Cyber Policy, Taylor & Francis Journals, vol. 3(1), pages 61-76, January.
    3. Fahrenwaldt, Matthias A. & Weber, Stefan & Weske, Kerstin, 2018. "Pricing Of Cyber Insurance Contracts In A Network Model," ASTIN Bulletin, Cambridge University Press, vol. 48(3), pages 1175-1218, September.
    4. Hurel Silva Dias, Louise & Lobato, Luisa Cruz, 2018. "Unpacking cyber norms: private companies as norm entrepreneurs," LSE Research Online Documents on Economics 115525, London School of Economics and Political Science, LSE Library.
    5. Maochao Xu & Lei Hua, 2019. "Cybersecurity Insurance: Modeling and Pricing," North American Actuarial Journal, Taylor & Francis Journals, vol. 23(2), pages 220-249, April.
    6. Kerstin Awiszus & Thomas Knispel & Irina Penner & Gregor Svindland & Alexander Vo{ss} & Stefan Weber, 2022. "Modeling and Pricing Cyber Insurance -- Idiosyncratic, Systematic, and Systemic Risks," Papers 2209.07415, arXiv.org, revised Dec 2022.
    7. Jan Martin Lemnitzer, 2021. "Why cybersecurity insurance should be regulated and compulsory," Journal of Cyber Policy, Taylor & Francis Journals, vol. 6(2), pages 118-136, May.
    8. Yeftanus Antonio & Sapto Wahyu Indratno & Rinovia Simanjuntak, 2021. "Cyber Insurance Ratemaking: A Graph Mining Approach," Risks, MDPI, vol. 9(12), pages 1-34, December.
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