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

  • Authors:

  • Yang Wan Cheng

  • Affiliations:

  • -

  • Venue:
  • ICCSN '10 Proceedings of the 2010 Second International Conference on Communication Software and Networks
  • Year:
  • 2010

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Abstract

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.