Anomaly Detection Dataset for Industrial Control Systems. (arXiv:2305.09678v1 [cs.CR])

Over the past few decades, Industrial Control Systems (ICSs) have been
targeted by cyberattacks and are becoming increasingly vulnerable as more ICSs
are connected to the internet. Using Machine Learning (ML) for Intrusion
Detection Systems (IDS) is a promising approach for ICS cyber protection, but
the lack of suitable datasets for evaluating ML algorithms is a challenge.
Although there are a few commonly used datasets, they may not reflect realistic
ICS network data, lack necessary features for effective anomaly detection, …

anomaly detection control control systems cyber cyberattacks cyber protection datasets detection ics ids industrial industrial control industrial control systems internet intrusion intrusion detection machine machine learning protection systems vulnerable