Research on Baseline Technology of Industrial Control Network Security based on Semi-supervised Learning

DOI

10.2991/icmeit-19.2019.9How to use a DOI?

Keywords

Semi-supervised Learning Method; Industrial control system; Baseline.

Abstract

With the rapid development of industrial control network, performance management and risk prevention based on network traffic data, especially abnormal traffic detection, have gradually attracted people's attention. However, the traditional flow detection method based on fixed baseline cannot adapt to the growing data and increasingly complex data types. It leads to inaccurate test results and false alarms, and also consumes a lot of manpower and resources. In this paper, a semi-supervised learning method is proposed to realize the self-construction of baseline and the automatic detection of abnormal index data.

Copyright

© 2019, 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  - Yixiang Jiang
AU  - Chengting Zhang
AU  - Wenlong Jin
PY  - 2019/04
DA  - 2019/04
TI  - Research on Baseline Technology of Industrial Control Network Security based on Semi-supervised Learning
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 50
EP  - 54
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.9
DO  - 10.2991/icmeit-19.2019.9
ID  - Jiang2019/04
ER  -