The Implementation of a Network Traffic Detection Model Based on GPU and CPU Heterogeneous Platform

DOI

10.2991/icismme-15.2015.290How to use a DOI?

Keywords

AC algorithm; Parallel Computing; Video Memory Optimization; Network Traffic Detection.

Abstract

The technology of network traffic detection is very important in the area of network managing, network monitoring and network security. The network traffics are sharply increasing along with the growing of the Internet. Because of the hardware limitation, the traditional traffic detection method can not meet the requirement of detecting gigabit high-speed network in real-time. A network traffic detection model based on GPU and CPU heterogeneous platform is proposed. This detection model makes some simplification and changes of the AC algorithm. It can take the advantage of the excellent parallel computing capability of GPU to speed up the string matching module which costs the most of the time in the detection. Experiments show that the detecting speed of GPU and CPU heterogeneous model is much faster than that of the traditional model.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Peng Xie
AU  - Yu Wu
AU  - Kefei Cheng
PY  - 2015/07
DA  - 2015/07
TI  - The Implementation of a Network Traffic Detection Model Based on GPU and CPU Heterogeneous Platform
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1354
EP  - 1359
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.290
DO  - 10.2991/icismme-15.2015.290
ID  - Xie2015/07
ER  -