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Reseach Article

Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm

by Amit Bhardwaj, Parneet Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 15
Year of Publication: 2013
Authors: Amit Bhardwaj, Parneet Kaur
10.5120/12963-0145

Amit Bhardwaj, Parneet Kaur . Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm. International Journal of Computer Applications. 74, 15 ( July 2013), 33-37. DOI=10.5120/12963-0145

@article{ 10.5120/12963-0145,
author = { Amit Bhardwaj, Parneet Kaur },
title = { Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 15 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number15/12963-0145/ },
doi = { 10.5120/12963-0145 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:23.922558+05:30
%A Amit Bhardwaj
%A Parneet Kaur
%T Adaptive Distributed Intrusion Detection using Hybrid K-means SVM Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 15
%P 33-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Assuring secure and reliable operation of networks has become a priority research area these days because of ever growing dependency on network technology. Intrusion detection systems (IDS) are used as the last line of defense. Intrusion Detection System identifies patterns of known intrusions (misuse detection) or differentiates anomalous network data from normal data (anomaly detection). In this paper, a novel Intrusion Detection System (IDS) architecture is proposed which includes both anomaly and misuse detection approaches. The hybrid Intrusion Detection System architecture consists of centralized anomaly detection and distributed signature detection modules. Proposed anomaly detection module uses hybrid machine learning algorithm called k-means clustering support vector machine (KSVM). This hybrid system couples the benefits of low false-positive rate of signature-based intrusion detection system and anomaly detection system's ability to detect new unknown attacks.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Distributed k-means clustering Intrusion Detection System Support Vector Machine