N. Gomathi, T. Cowsalya, R. Arunkumar, SVS College of Engineering, Coimbatore, Tamilnadu, India.
DOI : 01.0401/ijaict.2015.08.01
International Journal of Advanced Information and Communication Technology
Received On : February 12, 2019
Revised On : March 10, 2019
Accepted On : April 13, 2019
Published On : May 05, 2019
Volume 06, Issue 05
Pages : 1067-1071
Abstract
Publishing data for analysis from a table containing personal records, while maintaining individual privacy, is a problem of increasing important today. In most practical anonymization scenarios, there exists public knowledge that can be used by an attacker to breach privacy. The proposed work “Privacy Preserving Technique with Public Data Base For Data Mining” presents a novel K-Anonymity solution to capture ℓ -diversity with an availability of external data base information. It takes both micro data to be published and an external data Base for anonymity process. It protects published data from an external attack like Linking Attack and also reduces information loss by capturing diversity.
Keywords
Privacy,Anonymity, Generalization, ℓ-diversity.
Cite this article
N. Gomathi, T. Cowsalya, R. Arunkumar, “Privacy Preserving Technique With Public Database For Data Mining, ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.1067-1071, May 05, 2019.
Copyright
© 2019 N. Gomathi, T. Cowsalya, R. Arunkumar. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.