Privacy Preserving Based on PCA Transformation Using Data Perturbation Technique
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 5
Abstract
Maintain confidentiality, privacy and security research in data mining (PPDM) is one of the biggest trends. Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from a different point of view, this of privacy preservation. We propose a simple PCA based transformation approach for various datasets to preserve privacy and maintain accuracy based on clustering. A privacy soil, the proposal to convert the data into nature, conservation saves. The accuracy of clustering before and after privacy preserving transformation was estimated.
Authors and Affiliations
Samir Patel , Kiran R. Amin
Keywords
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