title: |
Fuzzy methods for database protection |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 439 - 443 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Vicenc Torra, Daniel Abril, Guillermo Navarro-Arribas |
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publication date: |
July 2011 |
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keywords: |
Data privacy, fuzzy clustering, fuzzy
measures, fuzzy integrals. |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |