Research Article

Article:Intrusion Detection System Using Support Vector Machine and Decision Tree

by  Snehal A. Mulay, P.R. Devale, G.V. Garje
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Issue 3
Published: June 2010
Authors: Snehal A. Mulay, P.R. Devale, G.V. Garje
10.5120/758-993
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Snehal A. Mulay, P.R. Devale, G.V. Garje . Article:Intrusion Detection System Using Support Vector Machine and Decision Tree. International Journal of Computer Applications. 3, 3 (June 2010), 40-43. DOI=10.5120/758-993

                        @article{ 10.5120/758-993,
                        author  = { Snehal A. Mulay,P.R. Devale,G.V. Garje },
                        title   = { Article:Intrusion Detection System Using Support Vector Machine and Decision Tree },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 3 },
                        number  = { 3 },
                        pages   = { 40-43 },
                        doi     = { 10.5120/758-993 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Snehal A. Mulay
                        %A P.R. Devale
                        %A G.V. Garje
                        %T Article:Intrusion Detection System Using Support Vector Machine and Decision Tree%T 
                        %J International Journal of Computer Applications
                        %V 3
                        %N 3
                        %P 40-43
                        %R 10.5120/758-993
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Support Vector Machines (SVM) are the classifiers which were originally designed for binary classification. The classification applications can solve multi-class problems. Decision-tree-based support vector machine which combines support vector machines and decision tree can be an effective way for solving multi-class problems. This method can decrease the training and testing time, increasing the efficiency of the system. The different ways to construct the binary trees divides the data set into two subsets from root to the leaf until every subset consists of only one class. The construction order of binary tree has great influence on the classification performance. In this paper we are studying an algorithm, Tree structured multiclass SVM, which has been used for classifying data. This paper proposes the decision tree based algorithm to construct multiclass intrusion detection system.

References
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Intrusion detection system support vector machine decision tree

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