Volume : V, Issue : VIII, August - 2015

Securing Big Data in Privacy Preserving Data Mining

U. Indumathi, T. Meyyappan

Abstract :

Database mining can be defined as the process of mining for implicit, formerly unidentified, and potentially essential information from awfully huge databases by efficient knowledge discovery techniques. The privacy and security of user information have become significant public policy anxieties and these anxieties are receiving increased interest by the both public and government lawmaker and controller, privacy advocates, and the media. We propose a novel technique – for shå private data securely among several parties an algorithm has been used. An anonymous ID assignment technique is used iteratively to assign the nodes with ID numbers ranging from 1 to N. This technique enhances data that are more complex to be shared securely. The nodes are assigned with the anonymous ID with the help of a central authority. We analysis the privacy in Big data with mining parameters.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

U.Indumathi, T.Meyyappan Securing Big Data in Privacy Preserving Data Mining Indian Journal of Applied Research, Vol.5, Issue : 8 August 2015

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