Cyber assets at risk : monetary impact of U.S personally identifiable information mega data breaches

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<title>Cyber assets at risk</title>
<subTitle>: monetary impact of U.S personally identifiable information mega data breaches</subTitle>
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<namePart>IIker Poyraz, Omer </namePart>
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<abstract displayLabel="Summary">This study investigates various factors that can affect the monetary impact of data breaches on companies. This paper introduces a model for the total cost of a mega data breach based on a data set created from multiple sources that categorises stolen data for U.S. residents as personally identifiableinformation (PII) and sensitive personally identifiable information (SPII). Weuse a rigorous stepwise regression analysis that includes polynornial and factorial multilevel effects of the independent variables.There are three significant findings. First, our model finds a significantrelation between total data breach cost and revenue, the total amount of PIl and SPIl, and class action lawsuits. Second, the categorisation of personal information as sensitive and non-sensitive explains the cost better than previous work. Finally, all of the independent variables demonstrate multilevelfactorial interactions.</abstract>
<note type="statement of responsibility">Omer IIker Poyraz...[Et al.]</note>
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<topic>Impacto económico</topic>
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<topic>Ciberriesgos</topic>
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<topic>Brecha de protección</topic>
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<topic>Protección de datos</topic>
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<topic>Ciberseguridad</topic>
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<title>Geneva papers on risk and insurance : issues and practice</title>
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<publisher>Geneva : The Geneva Association, 1976-</publisher>
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<identifier type="issn">1018-5895</identifier>
<identifier type="local">MAP20077100215</identifier>
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<text>01/10/2020 Volumen 45 Número 4 - octubre 2020 , p. 616-638</text>
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