Browsing by Author "Yihunie, Simegnew"

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    Accelaration of Preprocessors of the Snort Network Intrusion Detection System Using General Purpose Graphics Processing Unit
    (Addis Ababa University, 2015-04) Yihunie, Simegnew; Assamnew, Fitsum
    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.