Fuzzy methods for database protection

DOI

10.2991/eusflat.2011.143How to use a DOI?

Keywords

Data privacy, fuzzy clustering, fuzzy measures, fuzzy integrals.

Abstract

Data privacy has become an important topic of research. Ubiquitous databases and the eclosion of web technology eases the access to information. This information can be related to individuals, and, thus, sensitive information about users can be easily accessed by interested parties. Data privacy focuses on tools and methods to protect the privacy of the respondents and data owners. In the last years, a large number of methods have been developed for data privacy. Some of them are based on fuzzy sets and systems. In this position paper we present a review of some of our results in this area. In particular, we focus on the use of fuzzy sets for data protection, for measuring information loss and for measuring disclosure risk. The techniques used in this field and reviewed in this paper range from fuzzy clustering to fuzzy integrals.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Vicenc Torra
AU  - Daniel Abril
AU  - Guillermo Navarro-Arribas
PY  - 2011/08
DA  - 2011/08
TI  - Fuzzy methods for database protection
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 439
EP  - 443
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.143
DO  - 10.2991/eusflat.2011.143
ID  - Torra2011/08
ER  -