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Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems.

, , , , and . Symmetry, 13 (3): 519 (2021)

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A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system., , , and . Cyber Security, page 1-8. IEEE, (2018)Neutralizing Adversarial Machine Learning in Industrial Control Systems Using Blockchain., , , , and . Cyber Science, page 437-451. Springer, (2022)Newly engineered energy-based features for supervised anomaly detection in a physical model of a water supply system., , , , and . Ad Hoc Networks, (2021)PLC memory attack detection and response in a clean water supply system., , , , and . Int. J. Crit. Infrastructure Prot., (2019)Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features., , , and . IJCNN, page 1-8. IEEE, (2020)WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels*., , , and . ICCA, page 724-731. IEEE, (2019)Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems., , , , and . Symmetry, 13 (3): 519 (2021)VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems., , , and . SIN, page 1-7. IEEE, (2021)