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Reseach Article

Applying Outlier Detection Techniques in Anomaly-based Network Intrusion Systems – A Theoretical Analysis

Published on January 2014 by J. Rene Beulah, D. Shalini Punithavathani
International Seminar on Computer Vision 2013
Foundation of Computer Science USA
ISCV - Number 1
January 2014
Authors: J. Rene Beulah, D. Shalini Punithavathani
d6bedb75-2ed1-4c32-aa05-e7e9fed60901

J. Rene Beulah, D. Shalini Punithavathani . Applying Outlier Detection Techniques in Anomaly-based Network Intrusion Systems – A Theoretical Analysis. International Seminar on Computer Vision 2013. ISCV, 1 (January 2014), 6-9.

@article{
author = { J. Rene Beulah, D. Shalini Punithavathani },
title = { Applying Outlier Detection Techniques in Anomaly-based Network Intrusion Systems – A Theoretical Analysis },
journal = { International Seminar on Computer Vision 2013 },
issue_date = { January 2014 },
volume = { ISCV },
number = { 1 },
month = { January },
year = { 2014 },
issn = 0975-8887,
pages = { 6-9 },
numpages = 4,
url = { /proceedings/iscv/number1/15107-1302/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Seminar on Computer Vision 2013
%A J. Rene Beulah
%A D. Shalini Punithavathani
%T Applying Outlier Detection Techniques in Anomaly-based Network Intrusion Systems – A Theoretical Analysis
%J International Seminar on Computer Vision 2013
%@ 0975-8887
%V ISCV
%N 1
%P 6-9
%D 2014
%I International Journal of Computer Applications
Abstract

With the advent of the Internet, security has become a major concern. An intrusion detection system is used to enhance the security of networks by inspecting all inbound and outbound network activities and by identifying suspicious patterns as possible intrusions. For the past two decades, many researchers are working in Intrusion Detection Systems. In recent years, anomaly detection has gained popularity with its ability to detect novel attacks. Nowadays researchers focus on applying outlier detection techniques for anomaly detection because of its promising results in identifying true attacks and in reducing false alarm rate. In this paper, some of the works which applied outlier analysis in anomaly detection is studied and their results are analyzed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Outlier Detection Anomaly Detection Intrusion Detection