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
Link To Document