Title :
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
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;
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
DOI :
10.1109/IITSI.2010.62
