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Accelaration of Preprocessors of the Snort Network Intrusion Detection System Using General Purpose Graphics Processing Unit

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dc.contributor.advisor Assamnew, Fitsum
dc.contributor.author Yihunie, Simegnew
dc.date.accessioned 2018-06-29T06:13:56Z
dc.date.available 2018-06-29T06:13:56Z
dc.date.issued 2015-04
dc.identifier.uri http://etd.aau.edu.et/handle/123456789/4790
dc.description.abstract Advances in networking technologies enable interactions and communications at high speeds and large data volumes. But, securing data and the infrastructure has become a big issue. Intrusion Detection Systems such as Snort play an important role to secure the network. Intrusion detection systems are used to monitor networks for unauthorized access. Snort has a packet decoder, pre-processor, detection engine and an alerting system. The detection engine is the most compute intensive part followed by the pre-processor. Previous work has shown how general purpose graphics processing units(GP-GPU) can be used to accellerate the detection engine. This work focused on the pre-processors of Snort, speci cally, the stream5 pre-processor as pro ling revealed it to be the most time consuming of the pre-processors. The analysis shows that the individual implementation of stream5 using Compute Uni ed Device Architecture(CUDA) achieved up to ve times speed up over the baseline. Also, an over all 15.5 percent speed up on the Defense Advanced Research Projects Agency(DARPA) intrusion detection system dataset was observed when integrated in Snort. Key words: Intrusion Detection System, Snort, Graphics Processing Unit, CUDA, Parallelization, Porting, Preprocessor. en_US
dc.language.iso en en_US
dc.publisher Addis Ababa University en_US
dc.subject Intrusion Detection System en_US
dc.subject Snort en_US
dc.subject Graphics Processing Unit en_US
dc.subject Cuda en_US
dc.subject Parallelization en_US
dc.subject Porting en_US
dc.subject Preprocessor en_US
dc.title Accelaration of Preprocessors of the Snort Network Intrusion Detection System Using General Purpose Graphics Processing Unit en_US
dc.type Thesis en_US


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