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The Research of Multi-pattern Matching Algorithm in Network Intrusion Detection System

Gong Fa-gen

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Abstract

The performance of the Network Intrusion Detections Systems (NIDS) often relies on exact and fast pattern matching techniques. With the increasing of network speeds and traffic, the pattern matching techniques may become a performance bottleneck. A faster multi-pattern matching algorithm which is used in Snort, and present an improved multiple-pattern matching algorithm are introduced. The improved algorithm can reduce time complexity and increase the checking efficiency of the system by experiment.

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What this paper is about

The performance of the Network Intrusion Detections Systems (NIDS) often relies on exact and fast pattern matching techniques. With the increasing of network speeds and traffic, the pattern matching techniques may become a performance bottleneck. A faster multi-pattern matching algorithm which is used in Snort, and present an improved multiple-pattern matching algorithm are introduced. The improved algorithm can reduce time complexity and increase the checking efficiency of the system by experiment.

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Available abstract

The performance of the Network Intrusion Detections Systems (NIDS) often relies on exact and fast pattern matching techniques. With the increasing of network speeds and traffic, the pattern matching techniques may become a performance bottleneck. A faster multi-pattern matching algorithm which is used in Snort, and present an improved multiple-pattern matching algorithm are introduced. The improved algorithm can reduce time complexity and increase the checking efficiency of the system by experiment.

Key concepts: Bottleneck, Intrusion detection system, Computer science, Matching (statistics), Pattern matching, String searching algorithm, Algorithm, Blossom algorithm

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