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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)

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The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System., , , and . DCOSS-IoT, page 453-460. IEEE, (2023)Ransomware: Analysis and Evaluation of Live Forensic Techniques and the Impact on Linux based IoT Systems., , , , and . CoRR, (2024)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)Enhancing Mac OS Malware Detection through Machine Learning and Mach-O File Analysis., , , , , and . CAMAD, page 170-175. IEEE, (2023)Insider threat detection using principal component analysis and self-organising map., , and . SIN, page 274-279. ACM, (2017)Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things., , and . SIN, page 1:1-1:6. ACM, (2018)