A Study on privacy for Sensitive Data by DM algorithms

Abstract

Whenever big data term is concerned the most important concern is privacy of data. One of the most common methods use random permutation techniques to mask the data, for preserving the privacy of sensitive data. Randomize response (RR) techniques were developed for the purpose of protecting surveys privacy and avoiding biased answers. The proposed work is to enhance the privacy level in RR technique using four group schemes. First according to the algorithm random attributes a, b, c, d were considered, then the randomization have been performed on every dataset according to the values of theta. Then ID3 and CART algorithm are applied on the randomized data.