International Journal of Advanced Computing and Communication Systems

A New Approach to Improve Data Utility under Differential Privacy

Rekha R K and Selvanayaki S, Department of Computer Science and Engineering Vel Tech Multi Tech Engineering College, Poonamallee, Chennai, Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 02, Issue 01

Page No : 008-013

Abstract

Privacy preserving publishing is the kind of techniques to apply privacy to collected vast amount of data. The data publication processes are today still very difficult. Data often contains personally identifiable information and therefore releasing such data may result in privacy breaches; this is the case for the examples of microdata, e.g., census data and medical data. The proposed techniques in this project accelerate accessing speed of user as well as applying privacy to collected data. Several anonymization techniques were designed for privacy preserving data publishing. Recent work in data publishing has shown that generalization losses considerable amount of information, especially for high dimensional data. Bucketization, on the other hand, does not prevent membership disclosure. We have proposed an overlapping slicing method for handling high- dimensional data. By partitioning attributes into more than one column, we protect privacy by breaking the association of uncorrelated attributes and preserve data utility by preserving the association between highly correlated attributes. This technique releases more attribute correlations thereby, overlapping slicing preserves better data utility than generalization and is more effective than bucketization in workloads involving the sensitive attribute. An encryption technique is also applied for encoding the data to increase the privacy of the sensitive information.

Keywords

Data Publishing, Microdata, Generalization, Bucketization, Anonymization Technique.

Cite this Article

Rekha R K and Selvanayaki S, “A New Approach to Improve Data Utility under Differential Privacy,” International Journal of Advanced Computing and Communication Systems, pp. 008-013, March, 2015.

Copyright

© 2015 Rekha R K and Selvanayaki S. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.