Cyber assets at risk : monetary impact of U.S personally identifiable information mega data breaches
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LDR | 00000cab a2200000 4500 | ||
001 | MAP20200032854 | ||
003 | MAP | ||
005 | 20201020131111.0 | ||
008 | 201015e20201001che|||p |0|||b|eng d | ||
040 | $aMAP$bspa$dMAP | ||
084 | $a7 | ||
245 | 1 | 0 | $aCyber assets at risk$b: monetary impact of U.S personally identifiable information mega data breaches$cOmer IIker Poyraz...[Et al.] |
520 | $aThis 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. | ||
650 | 4 | $0MAPA20080580872$aImpacto económico | |
650 | 4 | $0MAPA20160007633$aCiberriesgos | |
650 | 4 | $0MAPA20190012508$aBrecha de protección | |
650 | 4 | $0MAPA20080592875$aProtección de datos | |
650 | 4 | $0MAPA20140022700$aCiberseguridad | |
650 | 4 | $0MAPA20080591182$aGerencia de riesgos | |
651 | 1 | $0MAPA20080638337$aEstados Unidos | |
700 | 1 | $0MAPA20200020776$aIIker Poyraz, Omer | |
773 | 0 | $wMAP20077100215$tGeneva papers on risk and insurance : issues and practice$dGeneva : The Geneva Association, 1976-$x1018-5895$g01/10/2020 Volumen 45 Número 4 - octubre 2020 , p. 616-638 |