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Techniques of Privacy Preservation in Data Publishing
BibTeX
@MISC{Sheikh_techniquesof,
author = {Nargis Nasir Sheikh and Prof S. A. Bhavsar},
title = {Techniques of Privacy Preservation in Data Publishing},
year = {}
}
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Abstract
Abstract — Privacy-preservation in data mining is used to safeguard susceptible information from unsanctioned disclosure. Due to the increasing ability to store personal data about users in privacy is an important issue involved data publishing. The different techniques such as bucketization, generalization have been proposed to perform privacy-preservation in data publishing. Recent work has shown that the technique generalization does not support for high-dimensional data. And also, bucketization cannot prevent membership disclosure and does not apply for data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. The anonymization procedure, such as generalization along with bucketization, is actually intended regarding privacy conservation in microdata creating. In this paper, we presented different techniques of privacy preservation in data publishing. Here, we also study some application areas of privacy preservation in data publishing.
Keyphrases
data publishing privacy preservation different technique abstract privacy-preservation susceptible information quasi-identifying attribute application area unsanctioned disclosure privacy conservation important issue clear separation bucketization cannot prevent membership disclosure anonymization procedure personal data data mining sensitive attribute high-dimensional data technique generalization recent work
