A Privacy Protection Model Based On K-Anonymity

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/).

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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  -