Research on K-Anonymity Algorithm in Privacy Protection
- https://doi.org/10.2991/iccia.2012.47How to use a DOI?
- privacy,privacy protection,k-anonymity,clustering
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.
- © 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 - https://doi.org/10.2991/iccia.2012.47 ID - Wang2014/05 ER -