A fuzzy approach to risk analysis in information systems

Vicente Cestero, Eloy and Jiménez Martín, Antonio and Mateos Caballero, Alfonso (2013). A fuzzy approach to risk analysis in information systems. In: "Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems", 16-18 Feb 2013, Barcelona, España. ISBN 978-989-8565-40-2. pp. 130-133.

Description

Title: A fuzzy approach to risk analysis in information systems
Author/s:
  • Vicente Cestero, Eloy
  • Jiménez Martín, Antonio
  • Mateos Caballero, Alfonso
Item Type: Presentation at Congress or Conference (Article)
Event Title: Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems
Event Dates: 16-18 Feb 2013
Event Location: Barcelona, España
Title of Book: ICORES 2013: proceedings of the 2nd International Conference on Operations Research and Enterprise Systems
Date: 2013
ISBN: 978-989-8565-40-2
Subjects:
Freetext Keywords: Risk analysis; Information systems; Trapezoidal fuzzy numbers
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Assets are interrelated in risk analysis methodologies for information systems promoted by international standards. This means that an attack on one asset can be propagated through the network and threaten an organization's most valuable assets. It is necessary to valuate all assets, the direct and indirect asset dependencies, as well as the probability of threats and the resulting asset degradation. These methodologies do not, however, consider uncertain valuations and use precise values on different scales, usually percentages. Linguistic terms are used by the experts to represent assets values, dependencies and frequency and asset degradation associated with possible threats. Computations are based on the trapezoidal fuzzy numbers associated with these linguistic terms.

More information

Item ID: 26123
DC Identifier: http://oa.upm.es/26123/
OAI Identifier: oai:oa.upm.es:26123
Official URL: http://www.icores.org/?y=2013
Deposited by: Memoria Investigacion
Deposited on: 22 Jul 2014 11:18
Last Modified: 22 Sep 2014 11:39
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