A Survey on Data Perturbation Techniques for Privacy Preserving in Data Mining |
Author(s): |
| Devang J. Patel , L.D. College of Engineering, Ahmedabad, Gujarat, India; Asst. Prof. Swati Patel , L.D. College of Engineering, Ahmedabad |
Keywords: |
| Data mining; privacy; perturbation; Geometric data perturbation |
Abstract |
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In recent years, advance in hardware technology have lead to increase in the capability to store and record personal data about service consumers and individuals. This has lead to concerns that the personal data may be misused for a variety of purposes. It is also very important to find out some useful information from large data sets. So in this paper we address privacy problem during mining large data sets. We introduce a certain transformation methods that deal with the privacy while mining. The goal of our methods are preserving the accuracy of specific data and preserving privacy of original data. Proposed methods provide privacy to only sensitive numerical attributes. This paper focuses on Geometric data perturbation technique for large data sets analyze. |
Other Details |
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Paper ID: IJSRDV3I1064 Published in: Volume : 3, Issue : 1 Publication Date: 01/04/2015 Page(s): 52-54 |
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