Detection and Prevention of Blackhole Attack in Wireless Sensor Network Using Ns-2.35 Simulator

Authors(2) :-Abhinav Kaurav, Kakelli Anil Kumar

Wireless sensor network (WSN) is a network consists of tiny sensor nodes made of semiconductor device distributed over a large geographical area which is used to measure environmental conditions like temperature, sound, pollution levels, humidity, wind speed and direction, pressure, etc. These networks are easily prone to security attacks. Unattended implementation of sensor nodes in a geographical area causes many security threats in the wireless sensor networks. There are many possible attacks on sensor network such as selective forwarding, jamming, sinkhole, wormhole, Sybil and hello flood attacks. Black Hole attack is among the most destructive routing attacks for these networks. It may cause the intruder to lure all or most of the data flow that has to be captured at the base station. This can ultimately is drop of some important data packets and can disrupt the sensor networks completely. In this paper we have introduced prevention mechanism against the blackhole attack in WSN. We have used the popular AODV protocol mechanism to detect and prevent this attack in NS-2.35 simulator.

Authors and Affiliations

Abhinav Kaurav
Department of Computer Science and Engineering, Indore Institute of Science & Technology, Indore, Madhya Pradesh, India
Kakelli Anil Kumar
Department of Computer Science and Engineering, Indore Institute of Science & Technology, Indore, Madhya Pradesh, India

Wireless Sensor Network, Blackhole Attack, AODV Protocol, NS-2.35 Simulator, Package Delivery Ratio, Throughput.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 717-722
Manuscript Number : CSEIT1723234
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Abhinav Kaurav, Kakelli Anil Kumar, "Detection and Prevention of Blackhole Attack in Wireless Sensor Network Using Ns-2.35 Simulator", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.717-722, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT1723234

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