Techniques for Privacy Preservation in Data Mining

Abstract

Data Mining deals with automatic extraction of previously unknown patterns from large amounts of data sets. These data sets typically contain sensitive individual information or critical business information, which consequently get exposed to the other parties during Data Mining activities. This creates barrier in Data Mining process. Solution to this problem is provided by Privacy preserving in data mining (PPDM). PPDM is a specialized set of Data Mining activities where techniques are evolved to protect privacy of the data, so that the knowledge discovery process can be carried out without barrier. The objective of PPDM is to protect sensitive information from leaking in the mining process along with accurate Data Mining results. The goal of this paper is to present the review on different privacy preserving techniques which are helpful in mining large amount of data with reasonable efficiency and security.