A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

Network Intrusion Detection System (NIDS) is a network security system designed and built to detect malicious packets by monitoring the incoming and outgoing network packets. The computer network speed has now reached Gigabit per second (Gbps) due to rapid development of network hardware technologie...

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Main Author:	Ong, Wen Jian
Format:	Thesis
Language:	English
Published:	2015
Subjects:	TK7885-7895 Computer engineer Computer hardware
Online Access:	http://eprints.utm.my/id/eprint/48887/25/OngWenJianMFKE2015.pdf
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id	my-utm-ep.48887
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spelling	my-utm-ep.488872020-07-05T03:53:31Z A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm 2015-01 Ong, Wen Jian TK7885-7895 Computer engineer. Computer hardware Network Intrusion Detection System (NIDS) is a network security system designed and built to detect malicious packets by monitoring the incoming and outgoing network packets. The computer network speed has now reached Gigabit per second (Gbps) due to rapid development of network hardware technologies. This project proposes a Graphics Processing Unit (GPU) based NIDS with Bloom Filter pattern matching algorithm. Bloom Filter is a set of data structures to determine if a given piece of data belongs to a set and it is widely used for the pattern matching applications. The system developed is able to support network packets with TCP, UDP and ICMP protocols. The developed system is simulated with Snort NIDS ruleset version 2.9. Experimental results indicate that the throughput achieved is 3.6 Gbps with a false positive probability of 3.04 x 10-8. 2015-01 Thesis http://eprints.utm.my/id/eprint/48887/ http://eprints.utm.my/id/eprint/48887/25/OngWenJianMFKE2015.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86752 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK7885-7895 Computer engineer Computer hardware
spellingShingle	TK7885-7895 Computer engineer Computer hardware Ong, Wen Jian A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
description	Network Intrusion Detection System (NIDS) is a network security system designed and built to detect malicious packets by monitoring the incoming and outgoing network packets. The computer network speed has now reached Gigabit per second (Gbps) due to rapid development of network hardware technologies. This project proposes a Graphics Processing Unit (GPU) based NIDS with Bloom Filter pattern matching algorithm. Bloom Filter is a set of data structures to determine if a given piece of data belongs to a set and it is widely used for the pattern matching applications. The system developed is able to support network packets with TCP, UDP and ICMP protocols. The developed system is simulated with Snort NIDS ruleset version 2.9. Experimental results indicate that the throughput achieved is 3.6 Gbps with a false positive probability of 3.04 x 10-8.
format	Thesis
qualification_level	Master's degree
author	Ong, Wen Jian
author_facet	Ong, Wen Jian
author_sort	Ong, Wen Jian
title	A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
title_short	A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
title_full	A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
title_fullStr	A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
title_full_unstemmed	A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
title_sort	graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	http://eprints.utm.my/id/eprint/48887/25/OngWenJianMFKE2015.pdf
_version_	1747817496023400448

A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

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