ISSN: 2349-5162 | Impact Factor: 5.87

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Published in:

Volume 2 Issue 2
February-2015
eISSN: 2349-5162

Unique Identifier

JETIR1502030

Page Number

327-335

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Title

Privacy Preserving in Association Rule Mining On Horizontally Partitioned Database

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Abstract

The advancement in data mining techniques plays an important role in many applications. In context of privacy and security issues, the problems caused by association rule mining technique are investigated by many research scholars. It is proved that the misuse of this technique may reveal the database owner’s sensitive and private information to others. Many researchers have put their effort to preserve privacy in Association Rule Mining. Amongst the two basic approaches for privacy preserving data mining, viz. Randomization based and Cryptography based, the later provides high level of privacy but incurs higher computational as well as communication overhead. Hence, it is necessary to explore alternative techniques that improve the over-heads. In this work, we propose an efficient, collusion-resistant cryptography based approach for distributed Association Rule mining using Shamir’s secret shar-ing scheme. As we show from theoretical and practical analysis, our approach is provably secure and require only one time a trusted third party. We use secret sharing for privately sharing the information and code based identification scheme to add support against malicious adversaries.

Key Words

Privacy, Privacy Preservation In Data Mining (PPDM), Horizontally Partitioned Database, EMHS,MFI, Shamir secret Sharing.

Cite This Article

"Privacy Preserving in Association Rule Mining On Horizontally Partitioned Database", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 2, page no. pp327-335, February-2015, Available at : www.jetir.org & http://www.jetir.org/JETIR1502030

Publication Details

Published Paper ID: JETIR1502030
Registration ID: 150110
Published In: Volume 2 | Issue 2 | Year February-2015
DOI (Digital Object Identifier):
Page No: 327-335
ISSN Number: 2349-5162

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