• DocumentCode
    1951775
  • Title

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

  • Author

    Cheng, Yang Wan

  • Author_Institution
    Inf. Electrimechanical Dept., HeBei Vocational & Tech. Coll. of Building Mater., Qinhuangdao, China
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    513
  • Lastpage
    515
  • 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.
  • Keywords
    computer graphics; computer viruses; coprocessors; eigenvalues and eigenfunctions; pattern matching; GPU; fast virus signature matching; graphic processing unit; high performance computing; high-performance network security processing; Computer buffers; Computer networks; Data security; Eigenvalues and eigenfunctions; Filters; High performance computing; Libraries; Pattern matching; Software performance; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks, 2010. ICCSN '10. Second International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5726-7
  • Electronic_ISBN
    978-1-4244-5727-4
  • Type

    conf

  • DOI
    10.1109/ICCSN.2010.72
  • Filename
    5437720