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：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：Data mining is a process of extracting useful knowledge from large data sets. The typical process ofdata collection and data dissemination result in a possible risk of privacy threats and attacks. Some private informationabout individuals, businesses and organizations has to be suppressed before it is shared or published. In recent years,privacy preserving data mining has been studied extensively, because of the wide proliferation of sensitive informationon the internet. We discussed about the recent approaches involved in privacy preservation such as randomization,anonymization, perturbation and distributed privacy preservation. We discuss the computational and theoretical limitsassociated with privacy preservation over high dimensional data sets.
