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• W1235272037 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 difierent 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." @default.
• W1235272037 created "2016-06-24" @default.
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• W1235272037 date "2011-01-01" @default.
• W1235272037 modified "2023-09-24" @default.
• W1235272037 title "Feature Analysis for Intrusion Detection in Mobile Ad-hoc Networks" @default.
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