A study of a pattern matching performance scheme using q-gram index with next byte range

Chol-Man Ho; Hyon-Chol Ok; Yu-Hun Kim; Mi-Hyang Kim

doi:10.1117/12.2668080

20 April 2023 A study of a pattern matching performance scheme using q-gram index with next byte range

Chol-Man Ho, Hyon-Chol Ok, Yu-Hun Kim, Mi-Hyang Kim

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126022C (2023) https://doi.org/10.1117/12.2668080
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

The paper shows how to convert the pattern DB into the q-gram index structure with the 'next byte range' and how to filter the data item (e.g. packet) using this structure. We indexed the patterns of the given DB as 6byte-part to raise the speed of matching and the utilization of memory. In this paper, we aimed to largely decrease the full-pattern matching system's load(the number of the input data item) and improve the performance of pattern matching by using 'SigArrg', 'next byte range' and 'Bloom Filter'. We made an algorithm so that you can apply it easily to the fields connected with pattern matching, and the experiment result shows that our proposed method speeds up pattern matching. This paper has several scalabilities.

Citation Download Citation

Chol-Man Ho, Hyon-Chol Ok, Yu-Hun Kim, and Mi-Hyang Kim "A study of a pattern matching performance scheme using q-gram index with next byte range", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126022C (20 April 2023); https://doi.org/10.1117/12.2668080

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KEYWORDS

Tunable filters

Windows

Bismuth

DARPA

Network security

Neural networks

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