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C Privacy Prevention of Discriminating Rules by Perturbing Sensitive Items

by Deepak Patel, Vineet Richhariya
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 8
Year of Publication: 2015
Authors: Deepak Patel, Vineet Richhariya
10.5120/cae2015651825

Deepak Patel, Vineet Richhariya . C Privacy Prevention of Discriminating Rules by Perturbing Sensitive Items. Communications on Applied Electronics. 2, 8 ( September 2015), 12-16. DOI=10.5120/cae2015651825

@article{ 10.5120/cae2015651825,
author = { Deepak Patel, Vineet Richhariya },
title = { C Privacy Prevention of Discriminating Rules by Perturbing Sensitive Items },
journal = { Communications on Applied Electronics },
issue_date = { September 2015 },
volume = { 2 },
number = { 8 },
month = { September },
year = { 2015 },
issn = { 2394-4714 },
pages = { 12-16 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume2/number8/416-2015651825/ },
doi = { 10.5120/cae2015651825 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:40:22.781528+05:30
%A Deepak Patel
%A Vineet Richhariya
%T C Privacy Prevention of Discriminating Rules by Perturbing Sensitive Items
%J Communications on Applied Electronics
%@ 2394-4714
%V 2
%N 8
%P 12-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increase of digital data on servers different approach of data mining is done. This lead to important issue of proving privacy to the unfair information against any person, place, community etc. So Privacy preserving mining come in existence. This paper provide privacy for sensitive rule that discriminate data on the basis of community, gender, country, etc. So finding of those rules and suppression is done. Perturbation technique is use for the hiding sensitive rules. Experiment is done on real adult dataset for different ratio. Results shows that proposed work is better in maintaining the originality, reduce execution time, reduce data loss, at last suppress rules while other rules are remain unaffected.

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