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Analysis of Machine Learning Techniques for Intrusion Detection System: A Review

by Asghar Ali Shah, Malik Sikander Hayat Khiyal, Muhammad Daud Awan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 3
Year of Publication: 2015
Authors: Asghar Ali Shah, Malik Sikander Hayat Khiyal, Muhammad Daud Awan
10.5120/21047-3678

Asghar Ali Shah, Malik Sikander Hayat Khiyal, Muhammad Daud Awan . Analysis of Machine Learning Techniques for Intrusion Detection System: A Review. International Journal of Computer Applications. 119, 3 ( June 2015), 19-29. DOI=10.5120/21047-3678

@article{ 10.5120/21047-3678,
author = { Asghar Ali Shah, Malik Sikander Hayat Khiyal, Muhammad Daud Awan },
title = { Analysis of Machine Learning Techniques for Intrusion Detection System: A Review },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 3 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number3/21047-3678/ },
doi = { 10.5120/21047-3678 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:03.164149+05:30
%A Asghar Ali Shah
%A Malik Sikander Hayat Khiyal
%A Muhammad Daud Awan
%T Analysis of Machine Learning Techniques for Intrusion Detection System: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 3
%P 19-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security is a key issue to both computer and computer networks. Intrusion detection System (IDS) is one of the major research problems in network security. IDSs are developed to detect both known and unknown attacks. There are many techniques used in IDS for protecting computers and networks from network based and host based attacks. Various Machine learning techniques are used in IDS. This study analyzes machine learning techniques in IDS. It also reviews many related studies done in the period from 2000 to 2012 and it focuses on machine learning techniques. Related studies include single, hybrid, ensemble classifiers, baseline and datasets used.

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Index Terms

Computer Science
Information Sciences

Keywords

Security Intrusion detection Machine learning techniques Classification.

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