Cyber Risk Assessment for Insurability Verification

Benavente Peces, César ORCID: https://orcid.org/0000-0002-2734-890X, Bartolin, David Nicolas and Ahrens, Andreas (2018). Cyber Risk Assessment for Insurability Verification. En: "8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems", 29/07/2018-30/07/2018, Portugal. ISBN 978-989-758-322-3. pp. 93-97. https://doi.org/10.5220/0006870900930097.

Descripción

Título: Cyber Risk Assessment for Insurability Verification
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems
Fechas del Evento: 29/07/2018-30/07/2018
Lugar del Evento: Portugal
Título del Libro: Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2018)
Fecha: 2018
ISBN: 978-989-758-322-3
Materias:
ODS:
Palabras Clave Informales: Risk Assessment; Information Security; Customer Analysis; Bayes Theorem
Escuela: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Departamento: Teoría de la Señal y Comunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Nowadays, cyber-risks are an important aspect on the business agenda in every company, but they are difficult to analyse. Cyber-insurance is considered as appropriate means to absorb financial losses caused by computer security breaches. Cyber security management in a company requires the inter-action of all corporate divisions. To ensure security of wide level at an enterprise, decision-makers must take the necessary measures to avert the dangers of cyber-attacks or, following an attack, take the right steps to manage a damage at the lowest possible level. Within the scope of insurability assessments, Risk Engineers must analyse these measures to perform a cyber insurance acceptance test.

Más información

ID de Registro: 55169
Identificador DC: https://oa.upm.es/55169/
Identificador OAI: oai:oa.upm.es:55169
Identificador DOI: 10.5220/0006870900930097
URL Oficial: http://www.pec.peccs.org/
Depositado por: Memoria Investigacion
Depositado el: 04 Feb 2020 11:42
Ultima Modificación: 04 Feb 2020 11:42