Anomaly detection and resilient control of networked control system with multi-hop routing
Xinchun Jie,
Minrui Fei and
Dajun Du
International Journal of Systems Science, 2019, vol. 50, issue 6, 1202-1215
Abstract:
With the wide application of networked control systems, how to deal with data injection attacks and maintain the stability of control systems including wireless multi-hop networks is a problem that the researchers and technological workers must consider and solve. Based on the construction of a control system including wireless multi-hop networks, the data transmission mode between routing nodes and the stability condition of the control system are given. Considering the existence of data injection attacks to routing nodes, a real-time detection method for anomaly behaviours is presented on the basis of chi-square goodness-of-fit test. In the case of data injection actions taking place, a strategy of switching paths in turn is used to execute the control task. The strategy is satisfied with the resilient stability of the control system. The simulation results show that the detection method can detect the data injection actions in real time, and the control strategy can restore control variables to proper values when the data injection actions exist. These methods have certain application prospects and popularisation values.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:50:y:2019:i:6:p:1202-1215
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DOI: 10.1080/00207721.2019.1597944
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