Xu, Maochao; Hua, Lei Cybersecurity insurance: modeling and pricing. (English) Zbl 1410.91291 N. Am. Actuar. J. 23, No. 2, 220-249 (2019). Summary: Cybersecurity risk has attracted considerable attention in recent decades. However, the modeling of cybersecurity risk is still in its infancy, mainly because of its unique characteristics. In this study, we develop a framework for modeling and pricing cybersecurity risk. The proposed model consists of three components: the epidemic model, loss function, and premium strategy. We study the dynamic upper bounds for the infection probabilities based on both Markov and non-Markov models. A simulation approach is proposed to compute the premium for cybersecurity risk for practical use. The effects of different infection distributions and dependence among infection processes on the losses are also studied. Cited in 8 Documents MSC: 91B30 Risk theory, insurance (MSC2010) 94A62 Authentication, digital signatures and secret sharing 62P05 Applications of statistics to actuarial sciences and financial mathematics Keywords:cybersecurity insurance; infection probabilities; premium for cybersecurity risk Software:CopulaModel PDF BibTeX XML Cite \textit{M. Xu} and \textit{L. Hua}, N. Am. Actuar. J. 23, No. 2, 220--249 (2019; Zbl 1410.91291) Full Text: DOI OpenURL References: [1] Barrat, A.; Barthlemy, M.; Vespignani., A., Dynamical processes on complex networks, (2008), Cambridge: Cambridge University Press, Cambridge [2] Betterley, R. 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