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Indian Journal of Public Health Research & Development
Year : 2017, Volume : 8, Issue : 4
First page : ( 1173) Last page : ( 1177)
Print ISSN : 0976-0245. Online ISSN : 0976-5506.
Article DOI : 10.5958/0976-5506.2017.00490.9

A Survey On: Feature Analysis in Ad-Hoc Network Using SVM Classifiers

Nagalakshmi T. J.1, Kishoreraja P C2

1Research scholar, ECE Dept, Saveetha School of Engineering, Saveetha University, Thandalam, Chennai

2Professor, ECE Dept., Saveetha School of Engineering, Saveetha University, Thandalam, Chennai

Online published on 16 January, 2018.

Abstract

MANET can suffer with packet loss, attacks, traffic, and congestion so the performance may degrade. To avoid this IDS technique is used. This survey discuss about the several SVM (Support Vector Machine) classifiers. This study gives the idea about the creation of SVM classifiers and which one is best suited for IDS. Main features of data communication are taken into account to study the performance of the network.

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Keywords

Mobile Ad-hoc Network, Support Vector Machine, Ad-hoc On Demand Vector, One against Rest SVM, One against One SVM.

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