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Fast Virus Signature Matching Based on the High Performance Computing of GPU

Yang Wan Cheng
Inf. Electrimechanical Dept., HeBei Vocational & Tech. Coll. of Building Mater., Qinhuangdao, China
Second International Conference on Communication Software and Networks, 2010. ICCSN ’10, ICCSN, pp.513-515

@conference{cheng2010fast,

   title={Fast Virus Signature Matching Based on the High Performance Computing of GPU},

   author={Cheng, Y.W.},

   booktitle={2010 Second International Conference on Communication Software and Networks},

   pages={513–515},

   year={2010},

   organization={IEEE}

}

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For the virus signature matching time of traditional the eigenvalue is too long, which can’t meet the need of the information security, a method of fast virus signature matching on the GPU is compelled. The system uses the GPU as a fast filter to quickly identify possible virus signatures for thousands of data objects in parallel. The performance of their library suggests that the GPU is now a viable platform for cost-effective, high-performance network security processing. And it shows that the computing speed of the eigenvalue based on GPU is obviously higher than the eigenvalue based on CPU by the experiment.
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