Abstract
Industrial control system (ICS) is becoming more and more open to the outside world for the advancement of Industrial Internet, which means people can have access to the industrial control system with traditional internet-based methods. However, the connections with outside world make ICS exposed to numerous unpredictable dangers. In addition, artificial intelligence (AI) has made great progress and applying AI to other fields is the trend in both academia and industry. This paper will introduce the basic information of ICS and review related works in anomaly detection based on AI. Based on the analysis of previous researches and the features of ICS, the prospect of anomaly detection of ICS is forecasted.
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Jiang, D., Zhao, J. (2020). Machine Learning in Industrial Control System Security: A Survey. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_35
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DOI: https://doi.org/10.1007/978-981-32-9698-5_35
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