Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Research on K-Anonymity Algorithm in Privacy Protection

Authors
Chen Wang, Lianzhong Liu, Lijie Gao
Corresponding Author
Chen Wang
Available Online May 2014.
DOI
10.2991/iccia.2012.47How to use a DOI?
Keywords
privacy,privacy protection,k-anonymity,clustering
Abstract

Nowadays, people pay great attention to the privacy protection, therefore the technology of anonymization has been widely used. However, most of current methods strictly depend on the predefined ordering relation on the generalization layer or attribute domain, making the anonymous result is a high degree of information loss, thereby reducing the availability of data. In order to solve the problem, we propose a K-Members Clustering Algorithm to reduce the information loss, and improve the performance of k-anonymity in privacy protection.

Copyright
© 2013, 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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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/iccia.2012.47
ISSN
1951-6851
DOI
10.2991/iccia.2012.47How to use a DOI?
Copyright
© 2013, 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/).

Cite this article

TY  - CONF
AU  - Chen Wang
AU  - Lianzhong Liu
AU  - Lijie Gao
PY  - 2014/05
DA  - 2014/05
TI  - Research on K-Anonymity Algorithm in Privacy Protection
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 194
EP  - 196
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.47
DO  - 10.2991/iccia.2012.47
ID  - Wang2014/05
ER  -