期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：1
页码：139-141
出版社：TechScience Publications
摘要：Through data mining collect large amount of data in many organizations. A key value of huge databases today is technical or financial research. In a huge collection of data there arises a key issue that is privacy. Due to personal interests, medical databases or business interests privacy is needed. Due to privacy infringement while performing the data mining operations this is often not possible to utilize large databases for scientific or financial research. To address this problem, several privacy-preserving data mining techniques are used. The aim of privacy preserving data mining (PPDM) is to extract relevant knowledge from large amounts of data while protecting at the same time sensitive information.
关键词：Data Mining; Cryptography; Secret Sharing;Secure Multi Party Computation; Yao’s protocol;Homomorphic Secret Sharing.
