Efficient packet pattern matching for gigabit network intrusion detection using GPUs

Che Lun Hung*, Chun Yuan Lin, Hsiao Hsi Wang, Chin Yuan Chang

*此作品的通信作者

研究成果: Conference contribution同行評審

10 引文 斯高帕斯(Scopus)

摘要

With the rapid development of network hardware technologies and network bandwidth, the high link speeds and huge amount of threats poses challenges to network intrusion detection systems, which must handle the higher network traffic and perform more complicated packet processing. In general, pattern matching is a highly computationally intensive process part of network intrusion detection systems. In this paper, we present an efficient GPU-based pattern matching algorithm by leveraging the computational power of GPUs to accelerate the pattern matching operations to increase the over-all processing throughput. From the experiment results, the proposed algorithm achieved a maximum traffic processing throughput of 2.4 Gbit/s. The results demonstrate that GPUs can be used effectively to speed up intrusion detection systems.

原文English
主出版物標題Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
頁面1612-1617
頁數6
DOIs
出版狀態Published - 2012
事件14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012 - Liverpool, United Kingdom
持續時間: 25 6月 201227 6月 2012

出版系列

名字Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012

Conference

Conference14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
國家/地區United Kingdom
城市Liverpool
期間25/06/1227/06/12

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