Pesquisa de referências

Modelling and predicting enterprise level cyber risks in the context of sparse data availability

Portada
Registro MARC
Tag12Valor
LDR  00000cab a2200000 4500
001  MAP20230012383
003  MAP
005  20231214132323.0
008  230612e20230403esp|||p |0|||b|spa d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎861
1001 ‎$0‎MAPA20230005217‎$a‎Zängerle, Daniel
24510‎$a‎Modelling and predicting enterprise level cyber risks in the context of sparse data availability‎$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
7730 ‎$w‎MAP20077100215‎$g‎03/04/2023 Volumen 48 Número 2 - abril 2023 , p. 434-462‎$x‎1018-5895‎$t‎Geneva papers on risk and insurance : issues and practice‎$d‎Geneva : The Geneva Association, 1976-
85600‎$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