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An Ensemble Classification Approach for Intrusion Detection

by Riyad. A. M, M. S Irfan Ahmed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 2
Year of Publication: 2013
Authors: Riyad. A. M, M. S Irfan Ahmed
10.5120/13836-1402

Riyad. A. M, M. S Irfan Ahmed . An Ensemble Classification Approach for Intrusion Detection. International Journal of Computer Applications. 80, 2 ( October 2013), 37-42. DOI=10.5120/13836-1402

@article{ 10.5120/13836-1402,
author = { Riyad. A. M, M. S Irfan Ahmed },
title = { An Ensemble Classification Approach for Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 2 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number2/13836-1402/ },
doi = { 10.5120/13836-1402 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:51.526183+05:30
%A Riyad. A. M
%A M. S Irfan Ahmed
%T An Ensemble Classification Approach for Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 2
%P 37-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Increased cyber attacks in various forms compel everyone to implement effective intrusion detection systems for protecting their information wealth. From last two decades, there has been extensive research going on in intrusion detection system development using various techniques. But, designing detection systems producing maximum accuracy with minimum false positive is yet a challenging task for the research community. Ensemble method is one of the major developments in the field of machine learning. In this research work, new ensemble classification method is proposed from different classifiers. Support vector machine techniques, artificial neural network and random forest are used for classification. Ensemble model is formed for producing better result. The model shows promising result for all classes of attacks.

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Index Terms

Computer Science
Information Sciences

Keywords

Intrusion detection classification ensemble particle swam optimization support vector machine SVM ANN RS

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