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Reseach Article

Privacy preservation for WSN: A Survey

by Prakhar Gupta, Meenu Chawla
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 3
Year of Publication: 2012
Authors: Prakhar Gupta, Meenu Chawla
10.5120/7326-0159

Prakhar Gupta, Meenu Chawla . Privacy preservation for WSN: A Survey. International Journal of Computer Applications. 48, 3 ( June 2012), 11-16. DOI=10.5120/7326-0159

@article{ 10.5120/7326-0159,
author = { Prakhar Gupta, Meenu Chawla },
title = { Privacy preservation for WSN: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 3 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number3/7326-0159/ },
doi = { 10.5120/7326-0159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:43:06.490688+05:30
%A Prakhar Gupta
%A Meenu Chawla
%T Privacy preservation for WSN: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 3
%P 11-16
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a review of privacy-preserving techniques for wireless sensor networks (WSN). A lot of work has been done to enhance efficient use of power and resources in wireless sensor networks with the help of specific routing algorithms and different layers' protocols. As the popularity and uses of wireless sensor network increase, privacy of individuals is of very high demand. In this paper two main categories of privacy preserving techniques for WSN have been presented, data-oriented and context-oriented. Some interesting open challenges for future research have also been introduced. This paper should provide some fruitful help for further research in privacy preservation for WSN.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Privacy Data Mining