Modelling and predicting enterprise level cyber risks in the context of sparse data availability
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| 001 | MAP20230012383 | ||
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| 040 | $aMAP$bspa$dMAP | ||
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| 100 | 1 | $0MAPA20230005217$aZängerle, Daniel | |
| 245 | 1 | 0 | $aModelling and predicting enterprise level cyber risks in the context of sparse data availability$cDaniel Zängerle, Dirk Schiereck |
| 520 | $aDespite growing attention to cyber risks in research and practice, quantitative cyber risk assessments remain limited, mainly due to a lack of reliable data. This analysis leverages sparse historical data to quantify the financial impact of cyber incidents at the enterprise level. The results suggest that the probability of a cyber incident correlates with the subindustry, with the insurance sector being particularly exposed. The predicted financial losses from a cyber incident are less extreme than cited in recent investigations. The study confirms that cyber risks are heavy-tailed, jeopardising business operations and profitability | ||
| 650 | 4 | $0MAPA20140022700$aCiberseguridad | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080591182$aGerencia de riesgos | |
| 650 | 4 | $0MAPA20080580872$aImpacto económico | |
| 650 | 4 | $0MAPA20080548575$aPérdidas | |
| 650 | 4 | $0MAPA20080620868$aAnálisis de la rentabilidad | |
| 773 | 0 | $wMAP20077100215$g03/04/2023 Volumen 48 Número 2 - abril 2023 , p. 434-462$x1018-5895$tGeneva papers on risk and insurance : issues and practice$dGeneva : The Geneva Association, 1976- | |
| 856 | 0 | 0 | $yMÁS INFORMACIÓN$u mailto:centrodocumentacion@fundacionmapfre.org?subject=Consulta%20de%20una%20publicaci%C3%B3n%20&body=Necesito%20m%C3%A1s%20informaci%C3%B3n%20sobre%20este%20documento%3A%20%0A%0A%5Banote%20aqu%C3%AD%20el%20titulo%20completo%20del%20documento%20del%20que%20desea%20informaci%C3%B3n%20y%20nos%20pondremos%20en%20contacto%20con%20usted%5D%20%0A%0AGracias%20%0A |