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ISSN Print: 2381-1137 ISSN Online: 2381-1145

International Journal of Wireless Communications, Networking and Mobile Computing

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Blackhole Attack Detection in Wireless Sensor Networks Using Support Vector Machine

International Journal of Wireless Communications, Networking and Mobile Computing
Vol.3 , No. 5, Publication Date: Sep. 26, 2016, Page: 48-52

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Authors

[1]	Mehndi Samra, School of Computer Science Engineering, Shri Mata Vaishno Devi University, Katra, India.
[2]	Naveen Kumar Gondhi, School of Computer Science Engineering, Shri Mata Vaishno Devi University, Katra, India.

Abstract

The paper demonstrates simulation of blackhole attack in wireless sensor networks. A node is considered suspicious in case there is a large drop of packets by the node and as a result very little or none of the packets are able to reach the destination. The paper proposes first a modified AODV routing protocol for simulating a blackhole second detecting the same using contingency table generated by the model based on support vector machine.

Keywords

Blackhole, Malicious, AODV, SVM, Contigency

Reference

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