A Fuzzy Logic based Privacy Preservation Clustering method for achieving K- Anonymity using EMD in dLink Model

JOURNAL OF ADVANCES IN CHEMISTRY

View Publication Info
 
 
Field Value
 
Title A Fuzzy Logic based Privacy Preservation Clustering method for achieving K- Anonymity using EMD in dLink Model
 
Creator Palanikkumar, D.
Priya, S.
Priya, S.
 
Subject S-shaped fuzzy function, t-closeness, Earth Mover Distance
 
Description Privacy preservation is the data mining technique which is to be applied on the databases without violating the privacy of individuals. The sensitive attribute can be selected from the numerical data and it can be modified by any data modification technique. After modification, the modified data can be released to any agency. If they can apply data mining techniques such as clustering, classification etc for data analysis, the modified data does not affect the result. In privacy preservation technique, the sensitive data is converted into modified data using S-shaped fuzzy membership function. K-means clustering is applied for both original and modified data to get the clusters. t-closeness requires that the distribution of sensitive attribute in any equivalence class is close to the distribution of the attribute in the overall table. Earth Mover Distance (EMD) is used to measure the distance between the two distributions should be no more than a threshold t. Hence privacy is preserved and accuracy of the data is maintained.
 
Publisher CIRWORLD
 
Date 2016-06-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/jac/article/view/4824
 
Source JOURNAL OF ADVANCES IN CHEMISTRY; Vol 12 No 12; 4601-4610
2321-807X
 
Language eng
 
Relation http://cirworld.com/index.php/jac/article/view/4824/4700
 
Rights Copyright (c) 2016 JOURNAL OF ADVANCES IN CHEMISTRY
http://creativecommons.org/licenses/by-nc-nd/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library