Anonymity Preserving Privacy: An Overview

Abstract

In this paper, we can focus on all the different methods used by the researchers to disclose the identification disclosure of individuals. To prevent the identity of an individual many researchers convert the original data into anonymized dataset using different techniques namely K-anonymity, L-diversity and T-closeness. Many organizations & institutes use public data for their personal interest  It leads to violation of data privacy of some individuals, there are many cases that even after removing private data, such as Name, Address, Individual  privacy can be comprised by combining attributes from the database. These joined attributes are named as Quasi-identifier.