Analyzing pattern matching algorithms applied on snort intrusion detection system

Currently, intrusion detection system has become widely used as a network perimeter security. The used of IDS to prevent the extremely sophisticated attacks in most of our industries, governmental organization and educational institutions .However ,Intrusion detection system can be either host-based...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdullahi, Abdifatah Abdirahman
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/33765/1/AbdifatahAbdirahmanAbdullahiMFC2013.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.33765
record_format	uketd_dc
spelling	my-utm-ep.337652021-07-26T03:50:07Z Analyzing pattern matching algorithms applied on snort intrusion detection system 2013 Abdullahi, Abdifatah Abdirahman QA75 Electronic computers. Computer science Currently, intrusion detection system has become widely used as a network perimeter security. The used of IDS to prevent the extremely sophisticated attacks in most of our industries, governmental organization and educational institutions .However ,Intrusion detection system can be either host-based or network based intrusion detection system, in a host-base intrusion it monitors the host where its configured while the network-based IDS it monitors both inbound and outbound traffic network. Furthermore, signature based or anomaly based detection techniques are used to detect malicious packets or attack in both network and host-based intrusion detection systems. Therefore, the challenges faced by most of the signature based detection systems like Snort tool is incapability to detect malicious traffic at higher traffic network, which resulted in a packet drooping and subjected the network where this signature based system is configured as a network perimeter security. The challenges resulted as a result of inefficiency of the pattern matching algorithms to efficiently perform pattern matching. Moreover, this project research work aim to compare the current Boyer-Moore pattern matching algorithm applied by the snort IDS with the Quick Search pattern matching algorithm in order to evaluate their performance and recommend for the implementation of the new pattern matching algorithm that will enhance snort detection performance. 2013 Thesis http://eprints.utm.my/id/eprint/33765/ http://eprints.utm.my/id/eprint/33765/1/AbdifatahAbdirahmanAbdullahiMFC2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:82656?queryType=vitalDismax&query=+Analyzing+pattern+matching+algorithms+applied+on+snort+intrusion+detection+system&public=true masters Unversiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Abdullahi, Abdifatah Abdirahman Analyzing pattern matching algorithms applied on snort intrusion detection system
description	Currently, intrusion detection system has become widely used as a network perimeter security. The used of IDS to prevent the extremely sophisticated attacks in most of our industries, governmental organization and educational institutions .However ,Intrusion detection system can be either host-based or network based intrusion detection system, in a host-base intrusion it monitors the host where its configured while the network-based IDS it monitors both inbound and outbound traffic network. Furthermore, signature based or anomaly based detection techniques are used to detect malicious packets or attack in both network and host-based intrusion detection systems. Therefore, the challenges faced by most of the signature based detection systems like Snort tool is incapability to detect malicious traffic at higher traffic network, which resulted in a packet drooping and subjected the network where this signature based system is configured as a network perimeter security. The challenges resulted as a result of inefficiency of the pattern matching algorithms to efficiently perform pattern matching. Moreover, this project research work aim to compare the current Boyer-Moore pattern matching algorithm applied by the snort IDS with the Quick Search pattern matching algorithm in order to evaluate their performance and recommend for the implementation of the new pattern matching algorithm that will enhance snort detection performance.
format	Thesis
qualification_level	Master's degree
author	Abdullahi, Abdifatah Abdirahman
author_facet	Abdullahi, Abdifatah Abdirahman
author_sort	Abdullahi, Abdifatah Abdirahman
title	Analyzing pattern matching algorithms applied on snort intrusion detection system
title_short	Analyzing pattern matching algorithms applied on snort intrusion detection system
title_full	Analyzing pattern matching algorithms applied on snort intrusion detection system
title_fullStr	Analyzing pattern matching algorithms applied on snort intrusion detection system
title_full_unstemmed	Analyzing pattern matching algorithms applied on snort intrusion detection system
title_sort	analyzing pattern matching algorithms applied on snort intrusion detection system
granting_institution	Unversiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2013
url	http://eprints.utm.my/id/eprint/33765/1/AbdifatahAbdirahmanAbdullahiMFC2013.pdf
_version_	1747816179640041472

Analyzing pattern matching algorithms applied on snort intrusion detection system

Similar Items