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

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 base...

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Main Authors: Yi-wei GAO, Rui-kang ZHOU, Ying-xu LAI, Ke-feng FAN, Xiang-zhen YAO, Lin LI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2017-07-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017133/
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author Yi-wei GAO
Rui-kang ZHOU
Ying-xu LAI
Ke-feng FAN
Xiang-zhen YAO
Lin LI
author_facet Yi-wei GAO
Rui-kang ZHOU
Ying-xu LAI
Ke-feng FAN
Xiang-zhen YAO
Lin LI
author_sort Yi-wei GAO
collection DOAJ
description 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.
format Article
id doaj-art-b06c2ff9bc78411cb372aae85c93f838
institution Kabale University
issn 1000-436X
language zho
publishDate 2017-07-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-b06c2ff9bc78411cb372aae85c93f8382025-01-14T07:12:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-07-013818619859711221Research on industrial control system intrusion detection method based on simulation modellingYi-wei GAORui-kang ZHOUYing-xu LAIKe-feng FANXiang-zhen YAOLin LIAt 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017133/simulationcompiler theorysystem identificationanomaly detection
spellingShingle Yi-wei GAO
Rui-kang ZHOU
Ying-xu LAI
Ke-feng FAN
Xiang-zhen YAO
Lin LI
Research on industrial control system intrusion detection method based on simulation modelling
Tongxin xuebao
simulation
compiler theory
system identification
anomaly detection
title Research on industrial control system intrusion detection method based on simulation modelling
title_full Research on industrial control system intrusion detection method based on simulation modelling
title_fullStr Research on industrial control system intrusion detection method based on simulation modelling
title_full_unstemmed Research on industrial control system intrusion detection method based on simulation modelling
title_short Research on industrial control system intrusion detection method based on simulation modelling
title_sort research on industrial control system intrusion detection method based on simulation modelling
topic simulation
compiler theory
system identification
anomaly detection
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017133/
work_keys_str_mv AT yiweigao researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling
AT ruikangzhou researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling
AT yingxulai researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling
AT kefengfan researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling
AT xiangzhenyao researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling
AT linli researchonindustrialcontrolsystemintrusiondetectionmethodbasedonsimulationmodelling