2012•Procedia EngineeringOpen access

A Predict Deterministic Finite Automaton for Practical Deep Packet Inspection

Qiang Wei, Yunzhao Li, Yanjie Chu

Abstract

Deep packet inspection has become extremely important due to network security. In deep packet inspection, the packet payload is compared against a set of patterns specified as regular expressions. Regular expressions are often implemented as deterministic finite automaton (DFA) for matching in linear time at high network link rates. We proposed a predict DFA which can accelerate the processing speed of DFA. A predict DFA uses additional information to predict several next transitions. We tested our proposal on Layer7 rule-set and validated it on real traffic traces, experiments show that our approach offers a significant performance improvement by accelerate rate factors from 1.6 to 2.8 over original DFA.

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Key concepts: Deep packet inspection, Deterministic finite automaton, Computer science, Network packet, Payload (computing), Deterministic automaton, Set (abstract data type), Regular expression