DocumentCode :
2353013
Title :
Preservation of Data Privacy Using PCA Based Transformation
Author :
Banu, R. Vidya ; Nagaveni, N.
Author_Institution :
Dept. of Appl. Sci., Sri Krishna Coll. of Eng. & Technol., Coimbatore, India
fYear :
2009
fDate :
27-28 Oct. 2009
Firstpage :
439
Lastpage :
443
Abstract :
Privacy-preserving data mining (PPDM) is one of the recent trends in privacy and security research. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from a different point of view, this of privacy preservation. This paper explores all the aspects of privacy issues in datamining, especially related with clustering, and provides a technique for privacy preserving clustering with a hypothetical banking scenario. Here we propose a model for clustering horizontally partitioned or centralized data sets using a simple PCA based transformation approach. The proposed PPC method has been implemented using Matlab and evaluated using synthetic datasets. The proposed privacy preserving transformation preserved the nature of the data even in the transformed form. The classification accuracy while using the transformed data is almost equal to that of the original dataset.
Keywords :
data mining; data privacy; mathematics computing; pattern clustering; principal component analysis; Matlab; PCA based transformation; data classification; privacy preserving clustering; privacy-preserving data mining; Communications technology; Data mining; Data privacy; Data security; Educational institutions; Information security; Law; Magnets; Principal component analysis; Protection; K-means clustering; PCA; Privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
Conference_Location :
Kottayam, Kerala
Print_ISBN :
978-1-4244-5104-3
Electronic_ISBN :
978-0-7695-3845-7
Type :
conf
DOI :
10.1109/ARTCom.2009.159
Filename :
5329342
Link To Document :
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