Cyber Risk Assessment for Insurability Verification

Benavente Peces, César and Bartolin, David Nicolas and Ahrens, Andreas (2018). Cyber Risk Assessment for Insurability Verification. In: "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.

Description

Title: Cyber Risk Assessment for Insurability Verification
Author/s:
  • Benavente Peces, César
  • Bartolin, David Nicolas
  • Ahrens, Andreas
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems
Event Dates: 29/07/2018-30/07/2018
Event Location: Portugal
Title of Book: Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2018)
Date: 2018
ISBN: 978-989-758-322-3
Subjects:
Freetext Keywords: Risk Assessment; Information Security; Customer Analysis; Bayes Theorem
Faculty: E.T.S.I. y Sistemas de Telecomunicación (UPM)
Department: Teoría de la Señal y Comunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 55169
DC Identifier: http://oa.upm.es/55169/
OAI Identifier: oai:oa.upm.es:55169
DOI: 10.5220/0006870900930097
Official URL: http://www.pec.peccs.org/
Deposited by: Memoria Investigacion
Deposited on: 04 Feb 2020 11:42
Last Modified: 04 Feb 2020 11:42
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