A SURVEY ON DATA ANONYMIZATION TECHNIQUES FOR LARGE DATA SETS?

Data anonymization is used to remove user specific information from published data sets. Different kinds of anonymization techniques are used to eliminate various types of attacks. Anonymization process modifies the data into human unidentifiable form and it is most efficient than any other privacy preserving techniques like encryption etc. Encryption is costly when compared to anonymization as the time taken to decrypt and obtain the original data is huge. In this paper we discuss different kinds of anonymization techniques to protect the user privacy from published data sets.