Proceedings of the 2016 International Forum on Management, Education and Information Technology Application

Data publishing Anonymity Algorithm Research Based on Clustering

Authors
Yu Yang, Longjun Zhang
Corresponding Author
Yu Yang
Available Online January 2016.
DOI
10.2991/ifmeita-16.2016.138How to use a DOI?
Keywords
(l, c) anonymous algorithm; Data publishing; Clustering; Personal privacy
Abstract

Data publishing provides convenience for data exchange and data sharing. But at the same time, the issue of personal privacy information leakage has become increasingly prominent. Anonymous algorithm is one of the main technologies in data publishing environment to realize privacy protection, but most anonymity algorithm of all sensitive attributes values are treated equally, without considering their sensitivity and specific distribution. It is vulnerable to similar attacks and deviation of attack. The equivalence classes are established by clustering technique, and the different levels of privacy protection are defined for each sensitive attribute value. Using local heavy coding scheme on the identifier to anonymous, anonymity algorithm (l, c) based on clustering is put forward. Experimental results show that the proposed algorithm improves the availability of published data while protecting privacy.

Copyright
© 2016, 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 2016 International Forum on Management, Education and Information Technology Application
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2016
ISBN
10.2991/ifmeita-16.2016.138
ISSN
2352-5398
DOI
10.2991/ifmeita-16.2016.138How to use a DOI?
Copyright
© 2016, 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  - Yu Yang
AU  - Longjun Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Data publishing Anonymity Algorithm Research Based on Clustering
BT  - Proceedings of the 2016 International Forum on Management, Education and Information Technology Application
PB  - Atlantis Press
SP  - 758
EP  - 762
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-16.2016.138
DO  - 10.2991/ifmeita-16.2016.138
ID  - Yang2016/01
ER  -