Toward security monitoring of industrial Cyber-Physical systems via hierarchically distributed intrusion detection

作者：

Highlights：

• An ICPS-oriented hierarchically distributed intrusion detector is presented.

• An adaptive Kalman filter-based physical space state anomaly detector is presented.

• A recursive GMM-based data transmission system intrusion detector is presented.

• A regularized sparse DBN-based information system intrusion detector is presented.

摘要

•An ICPS-oriented hierarchically distributed intrusion detector is presented.•An adaptive Kalman filter-based physical space state anomaly detector is presented.•A recursive GMM-based data transmission system intrusion detector is presented.•A regularized sparse DBN-based information system intrusion detector is presented.

论文关键词：Industrial Cyber-physical system,Distributed intrusion detection,Sensory system state anomaly monitoring,Adaptive Kalman filter,Recursive Gaussian mixture model,Regularized sparse deep belief network

论文评审过程：Received 5 October 2019, Revised 10 January 2020, Accepted 15 May 2020, Available online 3 June 2020, Version of Record 10 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113578