TCAM-based DFA deflation: A novel approach to fast and scalable regular expression matching

Kunyang Peng, Qunfeng Dong, Min Chen
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引用次数: 6

Abstract

Regular expression matching is the foundation of many network functions including intrusion detection, worm detection, traffic analysis and so on, where known patterns such as worm fingerprints are characterized using regular expressions and searched in network traffic for pattern match. As the quantity and diversity of known patterns keep increasing, regular expression pattern sets have rapidly grown in both size and complexity, while having to be matched in network traffic at accelerating wire speeds. Fast and scalable regular expression matching, therefore, is fundamental to the development of practical network systems.
基于tcam的DFA压缩:一种快速和可扩展的正则表达式匹配的新方法
正则表达式匹配是入侵检测、蠕虫检测、流量分析等许多网络功能的基础,它们利用正则表达式对蠕虫指纹等已知模式进行特征化,并在网络流量中搜索进行模式匹配。随着已知模式的数量和多样性不断增加,正则表达式模式集的大小和复杂性都在迅速增长,同时必须在网络流量中以加速的速度进行匹配。因此,快速和可扩展的正则表达式匹配是开发实用网络系统的基础。
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