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Feature Analysis for Intrusion Detection in Mobile Ad-hoc Networks (2009)
| Citations: | 4 - 0 self |
BibTeX
@MISC{Kabiri09featureanalysis,
author = {Peyman Kabiri and Mehran Aghaei},
title = {Feature Analysis for Intrusion Detection in Mobile Ad-hoc Networks},
year = {2009}
}
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Abstract
As Mobile Ad-hoc network (MANET) has become a very important technology, research concerning its security problem, especially, in intrusion detection has attracted many researchers. Feature selection methodology plays a central role in the data analysis process. The proposed features are tested in different network operating conditions. PCA is used to analyze the selected features. This is because, redundant and irrelevant features often reduce performance of the detection system. Performance reduction will occur both in speed and predictive accuracy. This paper aims to select and analyze the network features using principal component analysis. In this paper, performing various experiments, normal and attack states are simulated and the results for the selected features are analyzed.
Keyphrases
intrusion detection mobile ad-hoc network feature analysis performance reduction predictive accuracy feature selection methodology irrelevant feature important technology detection system network feature data analysis process many researcher principal component analysis different network central role various experiment security problem attack state
