A Study Of Privacy Preserving Data Mining Techniques
B. Vanathi · 2014
Privacy preserving data mining has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes. So people have become increasingly unwilling to share their data,often resulting in individuals either refusing to disclose their data or providing wrong data. Nowadays, privacy preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. We discuss method for Perturbation, K-Anonymization, condensation, and Distributed Privacy Preserving Data mining. In this paper, we have given a review of the state-of-the-art methods for privacy and analyze the representative technique for privacy preserving data mining and point out their merits and demerits. Finally the present problems and future directions are discussed.