文章基本信息

标题：Privacy Preserving for High-dimensional Data using Anonymization Technique
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作者：Neha V. Mogre ; Prof. Girish Agarwal ; Prof. Pragati Patil 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：In recent years, privacy-preserving data publishing has seen rapid advances that have lead to an increase in the capability to store and record personal data about consumers and individuals. Maintain the privacy for the high dimensional database has become important aspect. The personal data may be misused, for a variety of purposes. In order to alleviate these concerns, a number of techniques have recently been proposed in order to perform the data mining tasks in a privacy-preserving way. These techniques for performing privacy-preserving data mining are drawn from a wide array of related topics such as data mining, cryptography and information hiding. In this paper, we provide a state-of-art methods for privacy for the high dimensional databases
关键词：Data anonymization; Privacy preservation; Data publishing; Data security; Privacy Threats