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A Literature Survey and Comprehensive Study of Intrusion Detection

by Sravan Kumar Jonnalagadda, Ravi Prakash Reddy I
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 16
Year of Publication: 2013
Authors: Sravan Kumar Jonnalagadda, Ravi Prakash Reddy I
10.5120/14210-2458

Sravan Kumar Jonnalagadda, Ravi Prakash Reddy I . A Literature Survey and Comprehensive Study of Intrusion Detection. International Journal of Computer Applications. 81, 16 ( November 2013), 40-47. DOI=10.5120/14210-2458

@article{ 10.5120/14210-2458,
author = { Sravan Kumar Jonnalagadda, Ravi Prakash Reddy I },
title = { A Literature Survey and Comprehensive Study of Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 16 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number16/14210-2458/ },
doi = { 10.5120/14210-2458 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:56:15.405600+05:30
%A Sravan Kumar Jonnalagadda
%A Ravi Prakash Reddy I
%T A Literature Survey and Comprehensive Study of Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 16
%P 40-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rapid expansion of computer usage and computer network the security of the computer system has became very important. Every day new kind of attacks are being faced by industries. As the threat becomes a serious matter year by year, intrusion detection technologies are indispensable for network and computer security. A variety of intrusion detection approaches be present to resolve this severe issue but the main problem is performance. It is important to increase the detection rates and reduce false alarm rates in the area of intrusion detection. In order to detect the intrusion, various approaches have been developed and proposed over the last decade. In this paper, a detailed survey of intrusion detection based various techniques has been presented. Here, the techniques are classified as follows: i) papers related to Neural network ii) papers related to Support vector machine iii) papers related to K-means classifier iv) papers related to hybrid technique and v) paper related to other detection techniques. For comprehensive analysis, detection rate, time and false alarm rate from various research papers have been taken.

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Index Terms

Computer Science
Information Sciences

Keywords

Intrusion detection clustering classifier detection rate false alarm rate

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