International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Preserving Privacy for Sensitive Data Items by Utilizing Data Mining Techniques , Authors : M Ramesh, Y Naga Sowmya, T Lakshmi Surekha, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 5, Issue 5, September - October 2016

Title:
Preserving Privacy for Sensitive Data Items by Utilizing Data Mining Techniques
Author Name:
M Ramesh, Y Naga Sowmya, T Lakshmi Surekha
Abstract:
Abstract The enhancement of data mining technologies leads to the threat for privacy of individual’s private information. In recent years Privacy Preserving Data Mining (PPDM) topic in data mining research is studied extensively. The motive of PPDM is to maintain data secure by performing data mining algorithms effectively. Current investigations of PPDM basically approaches to the very proficient method to lessen the protection attacks brought by data mining operations, while actually, undesirable revelation of sensitive data may also happen during the time spent data collecting, data distributing, and data (i.e., the information mining results) conveying. In this paper, mainly concentrate about the privacy threatening issues that were detected with information mining extracted from a huge data repositories and research different methodologies that can ensure sensitive data. The knowledge derived from their local data repositories is insufficient to meet their projected outcomes. Hence there exists a need for sharing data for effective data mining and better analysis. While performing data analysis there exists a chance for intruder to know the individuals sensitive information.
Cite this article:
M Ramesh, Y Naga Sowmya, T Lakshmi Surekha , " Preserving Privacy for Sensitive Data Items by Utilizing Data Mining Techniques " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 5, September - October 2016 , pp. 020-024 , ISSN 2278-6856.
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