Authors:
G Kishor Kumar,R Raja Kumar,M Suleman Basha,K Nageswara Reddy,DOI NO:
https://doi.org/10.26782/jmcms.spl.3/2019.09.00020Keywords:
Bootstrapping,classification,svm,ensemble techniques,intrusion detection,Abstract
This paper “an ensemble of Support Vector Machines (SVM)” for networkbased intrusion detection. Bootstrapping is applied to derive various training sets from the given training set. Then a SVM is derived for each training set. The decisions of all SVMs is taken and majority voting is considered to classify the given query pattern as a normal or an anomalous one. We have shown the results of applying an ensemble of Support Vector Machines to the two standard data sets,viz.,1999KDDCupandCreditcarddatasets.Refference:
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