文章基本信息

标题：An Intrusion Detection System Based On Support Vector Machine Using Hierarchical Clustering And Genetic Algorithm
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作者：Minakshi Bisen ; Amit Dubey
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：1
页码：10062-10064
出版社：IJECS
摘要：An NIDS system based on SVM ,GA and Hierarchical Clustering is proposed.GA along with hierarchical clusteringis used to provide fewer,efficient and abstraced instances of the KDD Cup 1999 dataset to SVM for further processing.GA isused to eliminate the unimportant feature and BIRCH hierarchical clustering is used to provide optimal instances of the data set tothe SVM.Due to this optimal instances, SVM will be able to classify the network traffic data more accurately and precisely .This system try to reduce the detection time of r2l,u2r,probe and DoS atack and increase in the accuracy
关键词：Network Intrusion detection System ;Support vector machine; Hierarchical clustering; Genetic algorithm