Survey Paper on Slicing Concept Used for Privacy Preserving

Vishal Chavan, Ravindra Pal, Jitendra Pal

Abstract: Many techniques has been design for privacy preserving and micro data publishing such as generalization, Bucketization a. But there is problem in generalization i. e it is not suitable for lagre amount of data and there is a problem in Bucketization is that, it does not maintain a membership disclosure and it is also not suitable where there is no clear separation between quasi identifier and sensitive attribute. And both this problem is being solved in slicing Slicing uses a combination of both generalization and bucketization in order to preserve the privacy of data.

Keywords: Data Anonymization, Data publishing, Generalization, Bucketization, K-anonymity, T-Closeness, Slicing