Designing of Privacy Protection Platform Based on Data Mining

DOI

10.2991/iiicec-15.2015.276How to use a DOI?

Keywords

Privacy Protection; Mechanical Analysis; Optimal Design Data Mining

Abstract

How to protect sensitive data privacy is one of the research focus in the field of data mining, especially in the case of the data distributed storage, and the meaning of data privacy protection is particularly important. Secure multi-party computation security multiparty computation password primitives in the privacy of distributed data mining related applications, the literature [1] of privacy protection data mining model based on security multiparty computation were analyzed, and the argument of this model is based on discrete logarithm public-key encryption protocol is not fully homomorphic characteristics, with a simple example. Thus, it is concluded that the privacy data mining model is not feasible.

Copyright

© 2015, 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  - Bing Zhou
AU  - Zhihua Zeng
PY  - 2015/03
DA  - 2015/03
TI  - Designing of Privacy Protection Platform Based on Data Mining
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1251
EP  - 1254
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.276
DO  - 10.2991/iiicec-15.2015.276
ID  - Zhou2015/03
ER  -