Journal on Communications ›› 2017, Vol. 38 ›› Issue (7): 186-198.doi: 10.11959/j.issn.1000-436x.2017133

• Correspondences • Previous Articles     Next Articles

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

Yi-wei GAO1,Rui-kang ZHOU2,Ying-xu LAI1,Ke-feng FAN2,Xiang-zhen YAO2,Lin LI2   

  1. 1 College of Computer,Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China
    2 China Electronics Standardization Institute,Beijing 100007,China
  • Revised:2017-03-14 Online:2017-07-01 Published:2017-08-25
  • Supported by:
    The National Manufacturing Special Program([2015]1170);The Natural Science Foundation of Qinghai Province(2017-ZJ-912)

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.

Key words: simulation, compiler theory, system identification, anomaly detection

CLC Number: 

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