基于GPU高性能计算的病毒特征码快速匹配

Yang Cheng
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引用次数: 14

摘要

针对传统的特征值匹配时间过长,不能满足信息安全的需要,提出了一种基于GPU的快速病毒特征匹配方法。该系统利用GPU作为快速过滤器,对数千个数据对象并行快速识别可能的病毒特征。他们的库的性能表明,GPU现在是一个可行的平台,具有成本效益,高性能的网络安全处理。实验表明,基于GPU的特征值计算速度明显高于基于CPU的特征值计算速度。
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Fast Virus Signature Matching Based on the High Performance Computing of GPU
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.
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