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WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels*.

, , , и . ICCA, стр. 724-731. IEEE, (2019)

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David Robles

Ingeborg Robles

Erica Robles

Leopoldo Villafuerte Robles

Michel Godreau Robles

 

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A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system., , , и . Cyber Security, стр. 1-8. IEEE, (2018)Neutralizing Adversarial Machine Learning in Industrial Control Systems Using Blockchain., , , , и . Cyber Science, стр. 437-451. Springer, (2022)The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System., , , и . DCOSS-IoT, стр. 453-460. IEEE, (2023)Newly engineered energy-based features for supervised anomaly detection in a physical model of a water supply system., , , , и . Ad Hoc Networks, (2021)Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features., , , и . IJCNN, стр. 1-8. IEEE, (2020)WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels*., , , и . ICCA, стр. 724-731. IEEE, (2019)PLC memory attack detection and response in a clean water supply system., , , , и . Int. J. Crit. Infrastructure Prot., (2019)Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems., , , , и . Symmetry, 13 (3): 519 (2021)VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems., , , и . SIN, стр. 1-7. IEEE, (2021)