A network traffic classification method based on quintuple feature and regular expression matching

DOI

10.2991/icmmcce-15.2015.440How to use a DOI?

Keywords

traffic classification, quintuple, regular expression.

Abstract

A traffic classification method, based on quintuple feature and regular expression matching, is presented for the requirement of instantaneity and accuracy in the process of network traffic classification. First of all, the method proposed uses quintuple information recognition technology to classify network traffic rapidly. Then, the data packets are deeply, accurately classified and identified by the characteristics of regular expression matching protocol. Proved by examples, the method adopted in this paper can effectively improve the instantaneity and accuracy of network traffic classification.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shujuan Qiao
AU  - Yi Zhou
AU  - Leiyue Zhou
AU  - Liancheng Zheng
PY  - 2015/12
DA  - 2015/12
TI  - A network traffic classification method based on quintuple feature and regular expression matching
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SP  - 1214
EP  - 1219
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.440
DO  - 10.2991/icmmcce-15.2015.440
ID  - Qiao2015/12
ER  -