Fast Virus Signature Matching Based on the High Performance Computing of GPU
Yang Wan Cheng · 2010
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.