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Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm

Gaurav Bhamare, Satish Banait
Department of Computer Engineering, KKwagh Institute of Engineering Education & Research Centre, Nashik, University of Pune, Maharashtra
Journal of Computer Science and Mobile Computing, Vol.3, Issue.7, pg. 261-267, 2014

@article{bhamare2014faster,

   title={Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm},

   author={Bhamare, Mr Gaurav and Banait, Satish},

   year={2014}

}

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GPU Computing Have attracted lots of attention due to their large amount of data processing. The algorithm proposed in this paper is use for exact pattern matching on GPU. Among some famous algorithms, the Aho-Corasick Algorithm match multiple pattern simultaneously. a Traditional Aho-Corasick Algorithm matches the pattern by traversing state machine, known as Deterministic finite automata(DFA).Signature matching is important Technique in virus/worm detection, but Aho-corasick algorithm was developed only for string and virus/worm signature could be in regular expression . In this research work new guidelines are proposed for an efficient GPU adaptation of Aho-corasick algorithm for regular expression matching. Also several techniques are introduced to optimization on GPU, including reducing global memory access, storage format for output table. To evaluate performance proposed system will use SNORT virus database. Proposed algorithm Implemented on NVIDIA GTX-680 Graphics card using CUDA.
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