Title :
Fast Virus Signature Matching Based on the High Performance Computing of GPU
Author_Institution :
Inf. Electrimechanical Dept., HeBei Vocational & Tech. Coll. of Building Mater., Qinhuangdao, China
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;
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
DOI :
10.1109/ICCSN.2010.72