Improved Intrusion Detection Technique based on Feature Reduction and Classification using Support Vector Machine and Particle of Swarm Optimization

Sunita Patel; Jyoti Sondhi; Anand Motvani; Anurag Shrivastava

Research Article

Improved Intrusion Detection Technique based on Feature Reduction and Classification using Support Vector Machine and Particle of Swarm Optimization

by Sunita Patel, Jyoti Sondhi, Anand Motvani, Anurag Shrivastava

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 100 - Issue 18

Published: August 2014

Authors: Sunita Patel, Jyoti Sondhi, Anand Motvani, Anurag Shrivastava

10.5120/17628-8409

PDF

Sunita Patel, Jyoti Sondhi, Anand Motvani, Anurag Shrivastava . Improved Intrusion Detection Technique based on Feature Reduction and Classification using Support Vector Machine and Particle of Swarm Optimization. International Journal of Computer Applications. 100, 18 (August 2014), 34-37. DOI=10.5120/17628-8409

                        @article{ 10.5120/17628-8409,
                        author  = { Sunita Patel,Jyoti Sondhi,Anand Motvani,Anurag Shrivastava },
                        title   = { Improved Intrusion Detection Technique based on Feature Reduction and Classification using Support Vector Machine and Particle of Swarm Optimization },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 100 },
                        number  = { 18 },
                        pages   = { 34-37 },
                        doi     = { 10.5120/17628-8409 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2014
                        %A Sunita Patel
                        %A Jyoti Sondhi
                        %A Anand Motvani
                        %A Anurag Shrivastava
                        %T Improved Intrusion Detection Technique based on Feature Reduction and Classification using Support Vector Machine and Particle of Swarm Optimization%T 
                        %J International Journal of Computer Applications
                        %V 100
                        %N 18
                        %P 34-37
                        %R 10.5120/17628-8409
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

Reduces the file size and increase the performances of classification and intrusion detection technique used in current research trend. The reduction of file size and number of attribute used dimension reduction algorithm and optimization algorithm. Various authors used genetic algorithm, ANT colony optimization and neural network. In this paper used particle of swarm optimization technique for feature reduction and feature selection for support vector machine classification process. The proposed algorithm implemented in MATLAB software and used DARPA dataset for evaluation of proposed method. Our empirical result shows that better detection ratio in compression of other exiting technique such as FCMNN, GSVM.

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

IDS Feature Reduction SVM POS