期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：4
页码：11698-11703
出版社：IJECS
摘要：Data mining has attracted a great deal of information in recent years, due to the wide availability of huge amount of data and theimminent need for such data into useful information and knowledge, which can be used for applications ranging from market analysis,fraud detection and customer retention, to production control and science exploration. The real privacy concerns are with unconstrainedaccess of individual records, like credit card, banking applications, customer ID, which must access privacy sensitive information. Due toprivacy infringement while performing the data mining operations this is often not possible to utilize large databases for scientific orfinancial research. To address this problem, several privacy-preserving data mining techniques are used. The aim of privacy preserving datamining (PPDM) is to extract relevant knowledge from large amounts of data while protecting at the same time sensitive information
关键词：Privacy Preserving Data Mining; Trust Third Party Model; Secure Multiparty Computation Technique; Homomorphic Encryption;Threshold Decryption
