Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

A Privacy Protection Model Based On K-Anonymity

Authors
Na Man, Xin Li, Kechao Wang
Corresponding Author
Na Man
Available Online March 2018.
DOI
10.2991/aetr-17.2018.4How to use a DOI?
Keywords
Privacy protection; K-anonymity; Sensitive attribute
Abstract

In this paper, we focuse that the existing k-anonymity does not fully consider the privacy protection degree issues of sensitive attribute, proposing a (p, )-sensitive k-anonymity privacy protection model based on privacy protection degree grouping of sensitive attribute. The solution can not only effectively protect highly sensitive private information and reduce the risk of privacy leakage, but also reduce loss of information from the anonymous processing to improve the quality of the data.

Copyright
© 2018, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/aetr-17.2018.4
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.4How to use a DOI?
Copyright
© 2018, 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  - Na Man
AU  - Xin Li
AU  - Kechao Wang
PY  - 2018/03
DA  - 2018/03
TI  - A Privacy Protection Model Based On K-Anonymity
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 15
EP  - 19
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.4
DO  - 10.2991/aetr-17.2018.4
ID  - Man2018/03
ER  -