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Reseach Article

Detecting False Data in Wireless Sensor Network using Efficient Becan Scheme

by S. Sajithabanu, M. Durairaj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 18
Year of Publication: 2012
Authors: S. Sajithabanu, M. Durairaj
10.5120/6205-8763

S. Sajithabanu, M. Durairaj . Detecting False Data in Wireless Sensor Network using Efficient Becan Scheme. International Journal of Computer Applications. 43, 18 ( April 2012), 20-31. DOI=10.5120/6205-8763

@article{ 10.5120/6205-8763,
author = { S. Sajithabanu, M. Durairaj },
title = { Detecting False Data in Wireless Sensor Network using Efficient Becan Scheme },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 18 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number18/6205-8763/ },
doi = { 10.5120/6205-8763 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:45.670687+05:30
%A S. Sajithabanu
%A M. Durairaj
%T Detecting False Data in Wireless Sensor Network using Efficient Becan Scheme
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 18
%P 20-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks (WSNs), as an emerging technology face numerous challenges. Sensor nodes are usually resource constrained and also vulnerable to physical attacks or node compromises. As the projected applications for wireless sensor networks range from smart applications such as traffic monitoring to critical military applications such as measuring levels of gas concentration in battle fields, security in sensor networks becomes a prime concern. In sensitive applications, it becomes imperative to continuously monitor the transient state of the system rather than steady state observations and take requisite preventive and corrective actions. Generally, the networks are prone to be attacked by adversaries who intend to disrupt the functioning of the system by compromising the sensor nodes and injecting false data into the network. So it is important to shield the sensor network from false data injection attacks. In this work, it is proposed to use a novel bandwidth-efficient cooperative authentication (BECAN) scheme for filtering injected false data based on Bloom Filter.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks Bandwidth Injecting False Data Attack Bloom Filter