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Reseach Article

A Clustering based Intrusion Detection System for Storage Area Network

by Garima Singh, Anubhav Patrick, Lucky Rajpoot
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 9
Year of Publication: 2014
Authors: Garima Singh, Anubhav Patrick, Lucky Rajpoot
10.5120/15380-3804

Garima Singh, Anubhav Patrick, Lucky Rajpoot . A Clustering based Intrusion Detection System for Storage Area Network. International Journal of Computer Applications. 88, 9 ( February 2014), 14-18. DOI=10.5120/15380-3804

@article{ 10.5120/15380-3804,
author = { Garima Singh, Anubhav Patrick, Lucky Rajpoot },
title = { A Clustering based Intrusion Detection System for Storage Area Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 9 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number9/15380-3804/ },
doi = { 10.5120/15380-3804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:10.449233+05:30
%A Garima Singh
%A Anubhav Patrick
%A Lucky Rajpoot
%T A Clustering based Intrusion Detection System for Storage Area Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 9
%P 14-18
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A storage area network (SAN) is a high-speed and widely used special-purpose network that interconnects different kinds of storage devices with associated data servers on behalf of a larger network of users. SAN security is a specialized field dealing with issues related to the storage industry, it follows the same established principles found in all modern IT security. Therefore, it requires a continuous process of evaluating SAN environment's current state of security against the constant changes brought about by innovations in technology and an increase in awareness concerning security issues. This paper is all about intrusion detection in storage area network, and more important, how to detect and prevent suspicious activity of an unauthorized user by maintaining an audit record. This paper proposes an approach to detect an intrusion attack by clustering (k-mean) (to identify groups of similar behaved object, i. e. malicious and non-malicious activity), classification technique (to classify all data into particular class categories).

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Index Terms

Computer Science
Information Sciences

Keywords

SAN observer IDS manager host agent module SAN observer module manager module