Stacked-Autoencoder Based Anomaly Detection with Industrial Control System

Doyeon Kim; Chanwoong Hwang; Taejin Lee

doi:10.1007/978-3-030-67008-5_15

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Stacked-Autoencoder Based Anomaly Detection with Industrial Control System

Doyeon Kim Chanwoong Hwang Taejin Lee

Year: 2021 Studies in computational intelligence Pages: 181-191 Publisher: Springer Nature

DOI: 10.1007/978-3-030-67008-5_15

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Keywords:

Autoencoder Industrial control system Anomaly detection Testbed Computer science Data mining Support vector machine Artificial intelligence Deep learning Control (management) Real-time computing Computer network

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2.69

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0.91

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Topics

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Stacked-Autoencoder Based Anomaly Detection with Industrial Control System

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Citation History

Topics

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