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Methodology for Fast Pattern Matching by Deterministic Finite Automaton with Perfect Hashing

Authors: Jan Kastil; Jan Korenek; Ondrej Lengál;

Methodology for Fast Pattern Matching by Deterministic Finite Automaton with Perfect Hashing

Abstract

As the speed of current computer networks increases, it is necessary to protect networks by security systems such as firewalls and Intrusion Detection Systems operating at multigigabit speeds. Pattern matching is the time-critical operation of current IDS on multigigabit networks. Regular expressions are often used to describe malicious network patterns. This paper deals with fast regular expression matching using the Deterministic Finite Automaton (DFA) with perfect hash function. We introduce decomposition of the problem on two parts: transformation of the input alphabet and usage of a fast DFA, and usage of perfect hashing to reduce space/speed tradeoff for DFA transition table.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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