Universiti Teknologi Malaysia Institutional Repository

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

Ong, Wen Jian (2015) A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.

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Abstract

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.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Komputer dan Sistem Mikroelektronik)) - Universiti Teknologi Malaysia, 2015; Supervisor : Dr. Usman Ullah Sheikh
Uncontrolled Keywords:NIDS, microelectronic system, computer network
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineer. Computer hardware
Divisions:Electrical Engineering
ID Code:48887
Deposited By:INVALID USER
Deposited On:23 Nov 2015 12:24
Last Modified:05 Jul 2020 11:53

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