基于dfa的深度包检测模式匹配比较研究

R. Lenka, P. Ranjan
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引用次数: 14

摘要

在当今网络中,大多数网络安全应用都是基于深度包检测(DPI)的。它是计算机网络包过滤的一种形式,当包通过检查点时,它不仅检查报头部分,而且检查包的有效载荷部分,搜索协议不符合、病毒、垃圾邮件、入侵或一些预定义的标准,以决定包是否可以通过它或需要将其路由到不同的目的地。大多数执行深度数据包检测的系统都实现了基本的字符串匹配算法,以根据大但有限的字符串匹配数据包。然而,人们对使用基于正则表达式的模式匹配越来越感兴趣,因为正则表达式提供了优越的表达能力。使用DFA实现正则表达式匹配。网络应用程序中正则表达式集的DFA表示需要大量内存,限制了它们的实际应用。本文分析了DFA的D2FA、δFA、δ2FA等不同的压缩表示形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comparative Study on DFA-Based Pattern Matching for Deep Packet Inspection
Most of the network security applications in today's networks are based on Deep Packet Inspection (DPI). It is a form of computer network packet filtering that examines not only the header portion but also the payload part of a packet as it passes through an inspection point, searching for protocol noncompliance, viruses, Spam, intrusions or some predefined criteria to decide if the packet can pass it or it needs to be routed to a different destination. Most of the systems that perform deep packet inspection implement basic string matching algorithms to match packets against large but finite strings. However, there is growing interest in the use of regular expression-based pattern matching, since regular expressions offer superior expressive power. DFA is employed to implement regular expression matching. DFA representations of a regular expression sets in network applications require large amounts of memory, limiting their practical application. This paper presents an analysis of different compact representation of DFA such as D2FA, δFA, δ2FA.
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