Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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

Authors
Yixiang Jiang, Chengting Zhang, Wenlong Jin
Corresponding Author
Yixiang Jiang
Available Online April 2019.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.9How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 50
EP  - 54
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.9
DO  - https://doi.org/10.2991/icmeit-19.2019.9
ID  - Jiang2019/04
ER  -