Presentation 2007-07-19
Privacy-Preserving Association Rules Mining Scheme Revisited
Chunhua SU, Jianying ZHOU, Feng BAO, Tsuyoshi TAKAGI, Kouichi SAKURAI,
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Abstract(in English) Assocaition Rules Mining is a frequently used technique which finds interesting associations and correlation relationships among large set of data items that occur frequently together in varieties of social and bussiness area. For the coopertional distributed assocaition rules mining, privacy-preserving techniques are strongly needed. In this paper, we employ frequent-pattern tree (FP-tree) structure storing compressed, crucial information about frequent patterns, and develop an efficient and secure FP-treebased mining method. We show that our protocol is collusion resistant, which means that even if all dishonest respondents collude with a dishonest data minerin an attempt to learn the associations between honest respondents and their responses, they will be unable to do so.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) associatoin rule mining / privacy-preserving data mining / FP-tree / attributes-based encryption
Paper # ISEC2007-35,SITE2007-29
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Committee SITE
Conference Date 2007/7/12(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Privacy-Preserving Association Rules Mining Scheme Revisited
Sub Title (in English)
Keyword(1) associatoin rule mining
Keyword(2) privacy-preserving data mining
Keyword(3) FP-tree
Keyword(4) attributes-based encryption
1st Author's Name Chunhua SU
1st Author's Affiliation Department of Computer Science and Communication Engineering, Kyushu University()
2nd Author's Name Jianying ZHOU
2nd Author's Affiliation Institute for Inforcomm Research (I^2R)
3rd Author's Name Feng BAO
3rd Author's Affiliation Institute for Inforcomm Research (I^2R)
4th Author's Name Tsuyoshi TAKAGI
4th Author's Affiliation School of Systems Information Science, Future University-Hakodate
5th Author's Name Kouichi SAKURAI
5th Author's Affiliation Department of Computer Science and Communication Engineering, Kyushu University
Date 2007-07-19
Paper # ISEC2007-35,SITE2007-29
Volume (vol) vol.107
Number (no) 139
Page pp.pp.-
#Pages 6
Date of Issue