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[期刊论文]

Research on industrial control system intrusion detection method based on simulation modelling

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Author:

Gao, Yi-Wei (Gao, Yi-Wei.) | Zhou, Rui-Kang (Zhou, Rui-Kang.) | Lai, Ying-Xu (Lai, Ying-Xu.) (Scholars:赖英旭) | Unfold

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Abstract:

At present, intrusion detection system over fieldbus network layer was a basic protection method in industrial control system. However, it has some weakness, such as poor generality, high false-positive rate, and unable to detect unknown anomaly. An industrial control system intrusion detection method based on fieldbus network equipment simulation was proposed. The method prevented control program from being tampered or destroyed based on controller simulation modelling. Controlled object simulation modelling was designed for ensuring that the system input was credible. Thus the intrusion detection of industrial control network was realized. At last, the results indicate that the proposed intrusion detecting method is available. © 2017, Editorial Board of Journal on Communications. All right reserved.

Keyword:

Anomaly detection Intrusion detection Identification (control systems) Control theory Network layers Industrial research

Author Community:

  • [ 1 ] [Gao, Yi-Wei]College of Computer, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Zhou, Rui-Kang]China Electronics Standardization Institute, Beijing; 100007, China
  • [ 3 ] [Lai, Ying-Xu]College of Computer, Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Fan, Ke-Feng]China Electronics Standardization Institute, Beijing; 100007, China
  • [ 5 ] [Yao, Xiang-Zhen]China Electronics Standardization Institute, Beijing; 100007, China
  • [ 6 ] [Li, Lin]China Electronics Standardization Institute, Beijing; 100007, China

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Source :

Journal on Communications

ISSN: 1000-436X

Year: 2017

Issue: 7

Volume: 38

Page: 186-198

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

30 Days PV: 0

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