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Journal Article Mitigating the ICA Attack Against Rotation-Based Transformation for Privacy Preserving Clustering
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Authors
Abedelaziz Mohaisen, Do Won Hong
Issue Date
2008-12
Citation
ETRI Journal, v.30, no.6, pp.868-870
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.08.0208.0134
Abstract
The rotation-based transformation (RBT) for privacy preserving data mining is vulnerable to the independent component analysis (ICA) attack This paper introduces a modified multiple-rotation-based transformation technique for special mining applications, mitigating the ICA attack while maintaining the advantages of the RBT.
KSP Keywords
Data mining(DM), Independent Component analysis, Privacy Preserving Data Mining(PPDM), Transformation technique, privacy preserving clustering(PPC)