Modelling maximum cyber incident losses of German organisations
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| 001 | MAP20230012390 | ||
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| 040 | $aMAP$bspa$dMAP | ||
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| 100 | 1 | $0MAPA20230005224$aSkarczinski, Bennet von | |
| 245 | 0 | 0 | $aModelling maximum cyber incident losses of German organisations$cBennet von Skarczinski, Mathias Raschke, Frank Teuteberg |
| 520 | $aIn this paper, we introduce a novel tempered' generalised extreme value (GEV) approach. Based on a stratified random sample of 5000 interviewed German organisations, we model different loss distributions and compare them to our empirical data using graphical analysis and goodness-of-fit tests. We differentiate various subsamples (industry, size, attack type, loss type) and find our modified GEV outperforms other distributions, such as the lognormal and Weibull distributions. Finally, we calculate losses for the German economy, present application examples, derive implications as well as discuss the comparison of loss estimates in the literature | ||
| 650 | 4 | $0MAPA20140022700$aCiberseguridad | |
| 650 | 4 | $0MAPA20080570651$aSiniestralidad | |
| 650 | 4 | $0MAPA20080618919$aAnálisis de siniestralidad | |
| 650 | 4 | $0MAPA20080548575$aPérdidas | |
| 650 | 4 | $0MAPA20080622251$aSeguridad de la información | |
| 650 | 4 | $0MAPA20210003882$aSecuestro de datos | |
| 700 | 1 | $0MAPA20230005231$aRaschke, Mathias | |
| 700 | 1 | $0MAPA20230005248$aTeuteberg, Frank | |
| 773 | 0 | $wMAP20077100215$g03/04/2023 Volumen 48 Número 2 - abril 2023 , p. 463-501$x1018-5895$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 |