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    ARTICLE

    Deep Learning Anomaly Detection Based on Hierarchical Status-Connection Features in Networked Control Systems

    Jianming Zhao1,2,3,4, Peng Zeng1,2,3,4,*, Chunyu Chen1,2,3,4, Zhiwei Dong5, Jongho Han6

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 337-350, 2021, DOI:10.32604/iasc.2021.016966

    Abstract As networked control systems continue to be widely used in large-scale industrial productions, industrial cyber-attacks have become an inevitable problem that can cause serious damage to critical infrastructures. In practice, industrial intrusion detection has been widely acknowledged to detect abnormal communication behaviors. However, unlike traditional IT systems, networked control systems have their own communication characteristics due to specific industrial communication protocols. Thus, simple cyber-attack modeling is inadequate and impractical for high-efficiency intrusion detection because the characteristics of network control systems are less considered. Based on the status information and transmission connection in industrial communication data payloads, which can properly express… More >

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