Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set

Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set
Simon Duque Antón, Suneetha Kanoor, Daniel Fraunholz, Hans Dieter Schotten
Proceedings of the 13th International Conference on Availability, Reliability and Security International Conference on Availability, Reliability and Security (ARES-2018), August 27-30, Hamburg, Germany

Abstract:

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Keywords:

Modbus, Machine Learning, Anomaly Detection, Industrial, IT Security