The Research of Privacy-Preserving Clustering Algorithm

Author

Shen, Yanguang ; Han, Junrui ; Shan, Huifang

Author_Institution

Sch. of Inf. Sci. & Electr. Eng., Hebei Univ. of Eng., Handan, China

fYear

2010

fDate

2-4 April 2010

Firstpage

324

Lastpage

327

Abstract

This paper proposes HDPPDK-Means clustering algorithm for privacy-preserving over horizontal partitioned database, using secure multi-party computation protocol to realize privacy-preserving of clustering algorithm. Theoretical analysis and examples illustrate that the proposed algorithm can effectively solve privacy-preserving problem of clustering mining over horizontal distribution and achieve the privacy-preserving aim.

Keywords

data mining; data privacy; pattern clustering; HDPPDK-means clustering algorithm; horizontal distribution; horizontal partitioned database; multiparty computation protocol; privacy-preserving clustering algorithm; Algorithm design and analysis; Clustering algorithms; Data engineering; Distributed computing; Information analysis; Information science; Information security; Partitioning algorithms; Protection; Protocols; clustering algorithm; data classification; privacy-preserving; secure multi-party computation;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on

Conference_Location

Jinggangshan

Print_ISBN

978-1-4244-6730-3

Electronic_ISBN

978-1-4244-6743-3

Type

conf

DOI

10.1109/IITSI.2010.62

Filename

5453587

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2191787