期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：1
页码：428
DOI：10.15680/IJIRCCE.2017.0601072
出版社：S&S Publications
摘要：This frequent itemset mining is promising to carry this computation intensive mining process. Insupermarket the amount of work also transferred the approximate mining computation into the exact computation,where such methods not only improve the accuracy also aim to enhance the efficiency. In this paper, we propose a newframework for enforcing privacy in frequent itemset mining, where in supermarkets itemset data are both collected andmined in an encrypted form. We specifically design three secure frequent itemset mining protocols on top of thisframework. To guarantee data privacy and computation efficiency, we adopt two different homomorphic encryptionschemes and design a secure and effective comparison scheme. Our first protocol achieves more efficient miningperformance while our second protocol provides a stronger privacy guarantee. In order to further optimize theperformance of the second protocol, we leverage a minor trade-off of privacy to get our third protocol.
关键词：Data Security; Data Integrity; Data Protection; Association rules; Data Mining.
