计算机工程与应用2011，Vol.47Issue(33)：78-81,4.DOI:10.3778/j.issn.1002-8331.2011.33.023
基于GPU的高速网络入侵检测系统设计
High speed NIDS design based on GPU
卢永菁 1王东1
作者信息
- 1. 湖南大学信息科学与工程学院,长沙410082
- 折叠
摘要
Abstract
With the continuous increase in network bandwidth and the capacity constraints, the traditional Network Intrusion Detection Systems (NIDS) is facing challenges.How to improve the efficiency of NIDS in high-speed network environment is facing challenges.Specially designed acceleration hardware is used to improve the detection rate, which is not only of high costs and inflexibility,but also only applicable to special institutions and not suitable to a large-scale popularization and promo-tion.An NIDS is presented based on the Snort open-source that exploits the powerful high-performance of GPU parallel processing capability,combining with the optimized Linux networking stack and multiple threads of Snort,and a high-performance software intrusion detection structure is designed.The experimental results show that GPU is very suitable for high speed network.关键词
网络入侵检测系统(NIDS)/图形处理器(GPU)/Snort/并行计算Key words
Network Intrusion Detection Systems (NIDS)/Graphic Processing Unit (GPU)/Snort/parallel computing分类
信息技术与安全科学引用本文复制引用
卢永菁,王东..基于GPU的高速网络入侵检测系统设计[J].计算机工程与应用,2011,47(33):78-81,4.
