Study of Various Techniques for Privacy Preserving in Data Mining

Abstract

Extracting previously unknown patterns from massive volume of data is the main objective of any data mining algorithm. In current days there is a tremendous expansion in data collection due to the development in the field of information technology. The patterns revealed by data mining algorithm can be used in various domains like Image Analysis, Marketing and weather forecasting. As a side effect of the mining algorithm some sensitive information is also revealed. There is a need to preserve the privacy of individuals which can be achieved by using privacy preserving data mining. In this paper we discuss different techniques used for privacy preservation in data mining. There are many Techniques available for privacy preserving we will study some of the important technique from them.

Keywords: Anonymization;    Condensation; Cryptography; Distributed Data Mining; Perturbation; Privacy Preserving Data Mining (PPDM); Randomized Response.