Data Privacy Preserving using Perturbation Technique

Main Article Content

Prof. V. S. Mahalle Pankaj Jogi Shubham Purankar Samiksha Pinge Urvashi Ingale

Abstract

Data Mining mainly consist of the discovery of structures, associations and the events in the data. In order to analyze the data related to sector like healthcare, privacy of data is to be maintained. In order to maintain the privacy of data, a perturbation technique is applied on original dataset and a new dataset is formed which is different from original dataset. Data mining can be performed on this perturbed dataset for various surveys and analysis.
In this paper, perturbation technique algorithm is explained step by step in order to preserve the privacy of data.

Article Details

How to Cite
MAHALLE, Prof. V. S. et al. Data Privacy Preserving using Perturbation Technique. ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY, [S.l.], v. 3, n. 3, aug. 2017. ISSN 2350-1146. Available at: <http://asianssr.org/index.php/ajct/article/view/2900>. Date accessed: 21 oct. 2017.
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