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BHnFDIA : Energy Efficient Elimination of Black Hole and False Data Injection Attacks in Wireless Sensor Networks

by Tanuja R, S H Manjula, K R Venugopal, L M Patnaik
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 23
Year of Publication: 2014
Authors: Tanuja R, S H Manjula, K R Venugopal, L M Patnaik
10.5120/16931-6957

Tanuja R, S H Manjula, K R Venugopal, L M Patnaik . BHnFDIA : Energy Efficient Elimination of Black Hole and False Data Injection Attacks in Wireless Sensor Networks. International Journal of Computer Applications. 96, 23 ( June 2014), 1-8. DOI=10.5120/16931-6957

@article{ 10.5120/16931-6957,
author = { Tanuja R, S H Manjula, K R Venugopal, L M Patnaik },
title = { BHnFDIA : Energy Efficient Elimination of Black Hole and False Data Injection Attacks in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 23 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number23/16931-6957/ },
doi = { 10.5120/16931-6957 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:31.723766+05:30
%A Tanuja R
%A S H Manjula
%A K R Venugopal
%A L M Patnaik
%T BHnFDIA : Energy Efficient Elimination of Black Hole and False Data Injection Attacks in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 23
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks (WSNs) are currently being used in a wide range of applications including military areas that demand high security requirements. WSNs are susceptible to various types of attacks as they are unsupervised in nature. Since sensor network is highly resource constrained, providing security to data transmission becomes a challenging issue. Attacks must be detected and eliminated from the network as early as possible to enhance the rate of successful transmissions. In this paper, an energy efficient algorithm is proposed to eliminate Black Hole and False Data Injection Attack (BHnFDIA) to overcome black hole attack in WSNs using a new acknowledgement based scheme with less overhead. Every intermediate node check the authenticity and integrity of the received packet. The authentic packets will be forwarded and malicious packets will be discarded immediately. The proposed scheme can eliminate false data injection by outside malicious nodes and Black hole attack by compromised insider nodes. Simulation results show that the scheme can successfully identify and eliminate 100% black hole nodes. Malicious packets are immediately removed with 100% filtering efficiency. The scheme ensures more than 99% packet delivery with increased network traffic.

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Index Terms

Computer Science
Information Sciences

Keywords

ACK SINK (Sink Acknowledgement) Black hole attack False data injection Packet delivery rate Security in WSN

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