A Fuzzy approach based on dynamic programming and metaheuristics for selecting safeguards for risk management for information systems

Vicente Cestero, Eloy; Mateos Caballero, Alfonso y Jiménez Martín, Antonio (2014). A Fuzzy approach based on dynamic programming and metaheuristics for selecting safeguards for risk management for information systems. En: "3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014)", 6-8- Mar 2014, Angers, Francia. ISBN 978-989-758-017-8. pp. 35-45.

Descripción

Título: A Fuzzy approach based on dynamic programming and metaheuristics for selecting safeguards for risk management for information systems
Autor/es:
  • Vicente Cestero, Eloy
  • Mateos Caballero, Alfonso
  • Jiménez Martín, Antonio
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014)
Fechas del Evento: 6-8- Mar 2014
Lugar del Evento: Angers, Francia
Título del Libro: Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems
Fecha: 2014
ISBN: 978-989-758-017-8
Volumen: 1
Materias:
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this paper we focus on the selection of safeguards in a fuzzy risk analysis and management methodology for information systems (IS). Assets are connected by dependency relationships, and a failure of one asset may affect other assets. After computing impact and risk indicators associated with previously identified threats, we identify and apply safeguards to reduce risks in the IS by minimizing the transmission probabilities of failures throughout the asset network. However, as safeguards have associated costs, the aim is to select the safeguards that minimize costs while keeping the risk within acceptable levels. To do this, we propose a dynamic programming-based method that incorporates simulated annealing to tackle optimizations problems.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
Gobierno de EspañaMTM2011- 28983-C03-03Sin especificarSin especificarSin especificar
Comunidad de MadridS2009/ESP-1685Sin especificarSin especificarSin especificar

Más información

ID de Registro: 37495
Identificador DC: http://oa.upm.es/37495/
Identificador OAI: oai:oa.upm.es:37495
URL Oficial: http://www.scitepress.org/Portal/ProceedingsDetails.aspx?ID=WatwY71jL/E=&t=1
Depositado por: Memoria Investigacion
Depositado el: 17 Nov 2015 13:09
Ultima Modificación: 14 Nov 2017 10:04
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