International Journal of Application or Innovation in Engineering & Management
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ISSN 2319 – 4847
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Call for Paper, Published Articles, Indexing Infromation A Study of Projection based Multiplicative Data Perturbation for Privacy Preserving Data Mining, Authors : Bhupendra Kumar Pandya, Umesh Kumar Singh, Keerti Dixit, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 11, November 2014

Title:
A Study of Projection based Multiplicative Data Perturbation for Privacy Preserving Data Mining
Author Name:
Bhupendra Kumar Pandya, Umesh Kumar Singh, Keerti Dixit
Abstract:
ABSTRACT Random projections are a powerful method of dimensionality reduction that are noted for their simplicity and strong error guarantees. In this research paper we study a randomized multiplicative data perturbation technique for privacy preserving data mining. It is motivated by the work presented earlier that point out some security problems of additive perturbation and distance preserving perturbation. We provide a theoretical result related to projections and explores the possibility of using multiplicative random projection matrices for constructing a new representation of the data. Keywords: Random Projection, Dimensionality reduction.
Cite this article:
Bhupendra Kumar Pandya, Umesh Kumar Singh, Keerti Dixit , " A Study of Projection based Multiplicative Data Perturbation for Privacy Preserving Data Mining " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 180-182 , ISSN 2319 - 4847.
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