Massively Parallel Cuckoo Pattern Matching Applied for NIDS/NIPS

T. Tran, S. Kittitornkun
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引用次数: 12

Abstract

This paper describes a Cuckoo-based Pattern Matching (CPM) engine based on a recently developed hashing algorithm called Cuckoo Hashing. We implement the improved parallel Cuckoo Hashing suitable for hardware-based multi-pattern matching with arbitrary length. CPM can rapidly update the static pattern set without reconfiguration while consuming the lowest amount of hardware. With the power of massively parallel processing, the speedup of CPM is up to 128X as compared with serial Cuckoo implementation. Compared to other hardware systems, CPM is far better in performance and saves 30% of the area.
大规模并行杜鹃模式匹配应用于NIDS/NIPS
本文描述了一种基于杜鹃哈希算法的模式匹配引擎。我们实现了一种改进的并行布谷鸟哈希算法,适用于基于硬件的任意长度的多模式匹配。CPM可以快速更新静态模式集,而无需重新配置,同时消耗最少的硬件。利用大规模并行处理的能力,CPM与串行Cuckoo实现相比,速度提升高达128倍。与其他硬件系统相比,CPM的性能要好得多,节省了30%的面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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