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Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data

Dacorogna, Michel M.; Debbabi, Nehla; Kratz, Marie - 2022

Persistent link: https://www.econbiz.de/10013500692

From phishing to advanced persistent threats : the application of cybercrime risk to the enterprise risk management model

Moore, John W. - In: Review of business information systems 14 (2010) 4, pp. 27-36

Persistent link: https://www.econbiz.de/10008839901

Stress Testing for Cyber Risks : Cyber Risk Insurance Modeling beyond Value-at-Risk (VaR): Risk, Uncertainty, and, Profit for the Cyber Era

Malhotra, Yogesh - 2017

To avert the impending global Cyber-Finance Insurance Crisis based upon large-scale commercial reliance upon … following key contributions: Develops the first known Cyber-Finance-Trust™ framework for Cyber insurance modeling; Develops the … first known model risk management framework for Cyber insurance modeling; Develops first known analysis of significant and …

Persistent link: https://www.econbiz.de/10012972233

Cyber risk quantification : investigating the role of cyber value at risk

Orlando, Albina - In: Risks : open access journal 9 (2021) 10, pp. 1-12

party, such as an insurance company. Recently, cyber risk management techniques are including some risk quantile …

Persistent link: https://www.econbiz.de/10012698332

A multivariate Mmdel to quantify and mitigate cybersecurity risk

Bentley, Mark; Stephenson, Alec; Toscas, Peter; Zhu, Zili - In: Risks : open access journal 8 (2020) 2/61, pp. 1-20

The cost of cybersecurity incidents is large and growing. However, conventional methods for measuring loss and choosing mitigation strategies use simplifying assumptions and are often not supported by cyber attack data. In this paper, we present a multivariate model for different, dependent...

Persistent link: https://www.econbiz.de/10012292946