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Using Clustering Techniques and MITRE ATT&CK Threat Interpretation to Detect Anomalies in Modbus/TCP for Industrial Control Systems
industrial control systems security, unsupervised machine learning, modbus over tcp, anomaly detection, digital communications and networking
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