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Authors: Eloy Vicente ; Antonio Jiménez and Alfonso Mateos

Affiliation: Facultad de Informática and Universidad Politécnica de Madrid, Spain

Keyword(s): Risk Analysis, Information Systems, Trapezoidal Fuzzy Numbers.

Related Ontology Subjects/Areas/Topics: Applications ; Information Systems ; Methodologies and Technologies ; Operational Research ; Risk Management ; Software Engineering ; Software Project Management

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.

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Paper citation in several formats:
Vicente, E.; Jiménez, A. and Mateos, A. (2013). A Fuzzy Approach to Risk Analysis in Information Systems. In Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-8565-40-2; ISSN 2184-4372, SciTePress, pages 130-133. DOI: 10.5220/0004212001300133

@conference{icores13,
author={Eloy Vicente. and Antonio Jiménez. and Alfonso Mateos.},
title={A Fuzzy Approach to Risk Analysis in Information Systems},
booktitle={Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES},
year={2013},
pages={130-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004212001300133},
isbn={978-989-8565-40-2},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems - ICORES
TI - A Fuzzy Approach to Risk Analysis in Information Systems
SN - 978-989-8565-40-2
IS - 2184-4372
AU - Vicente, E.
AU - Jiménez, A.
AU - Mateos, A.
PY - 2013
SP - 130
EP - 133
DO - 10.5220/0004212001300133
PB - SciTePress

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