Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort

The growing numbers of Internet threats increasingly inspire the need of applying a defence in depth concepts to protect worldwide computer systems from being intruded for grabbing information. Crucially, the defence in depth includes multiple pieces of software and hardware working together to prov...

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Main Author:	Majeed, Ausama A.
Format:	Thesis
Language:	eng eng
Published:	2008
Subjects:	TK5101-6720 Telecommunication
Online Access:	https://etd.uum.edu.my/540/1/Ausama_A._Majeed.pdf https://etd.uum.edu.my/540/2/Ausama_A._Majeed.pdf
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id	my-uum-etd.540
record_format	uketd_dc
spelling	my-uum-etd.5402024-06-12T01:52:17Z Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort 2008-11-17 Majeed, Ausama A. College of Arts and Sciences (CAS) Faculty of Information Technology TK5101-6720 Telecommunication The growing numbers of Internet threats increasingly inspire the need of applying a defence in depth concepts to protect worldwide computer systems from being intruded for grabbing information. Crucially, the defence in depth includes multiple pieces of software and hardware working together to provide the desired protection. Purposefully, one component of this approach is names as Network Intrusion Detection System (NIDS) and its affiliation tool of the Snort IDS. However, to ensure that such an implementation is taking the row into reliable succession, the systems have to be examined to provide the decision makers with assurance about the way of reducing risks. Therefore, the criteria in achieving an effective NIDS, this system should not degrade overall network performance. Fruitfully, some experiments are designed and implemented using the simulation test-bed methodology with the interference of the Snort which measured by end-to-end delay-time. Introducing this software through the engine is going to be highlighted and discussed as a method of Intrusion Detection Systems testing performance at a basic level in order to ensure unaffected network traffic. Moreover, this will play a role to provide some information as if the IDS is efficiently capable to detect intrusions while maintaining network performance. 2008-11 Thesis https://etd.uum.edu.my/540/ https://etd.uum.edu.my/540/1/Ausama_A._Majeed.pdf text eng public https://etd.uum.edu.my/540/2/Ausama_A._Majeed.pdf text eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	TK5101-6720 Telecommunication
spellingShingle	TK5101-6720 Telecommunication Majeed, Ausama A. Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
description	The growing numbers of Internet threats increasingly inspire the need of applying a defence in depth concepts to protect worldwide computer systems from being intruded for grabbing information. Crucially, the defence in depth includes multiple pieces of software and hardware working together to provide the desired protection. Purposefully, one component of this approach is names as Network Intrusion Detection System (NIDS) and its affiliation tool of the Snort IDS. However, to ensure that such an implementation is taking the row into reliable succession, the systems have to be examined to provide the decision makers with assurance about the way of reducing risks. Therefore, the criteria in achieving an effective NIDS, this system should not degrade overall network performance. Fruitfully, some experiments are designed and implemented using the simulation test-bed methodology with the interference of the Snort which measured by end-to-end delay-time. Introducing this software through the engine is going to be highlighted and discussed as a method of Intrusion Detection Systems testing performance at a basic level in order to ensure unaffected network traffic. Moreover, this will play a role to provide some information as if the IDS is efficiently capable to detect intrusions while maintaining network performance.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Majeed, Ausama A.
author_facet	Majeed, Ausama A.
author_sort	Majeed, Ausama A.
title	Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
title_short	Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
title_full	Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
title_fullStr	Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
title_full_unstemmed	Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort
title_sort	performance evaluation in real-time network intrusion detection system using snort
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2008
url	https://etd.uum.edu.my/540/1/Ausama_A._Majeed.pdf https://etd.uum.edu.my/540/2/Ausama_A._Majeed.pdf
_version_	1804888206962851840

Performance Evaluation In Real-Time Network Intrusion Detection System Using Snort

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