A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001 (Cyber Security, 2018)

WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels*. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001 (ICCA, 2019)

PLC memory attack detection and response in a clean water supply system. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001; Inaki Maneru-Marin (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. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001 (IJCNN, 2020)

VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Jorge Porcel-Bustamante (SIN, 2021)

Newly engineered energy-based features for supervised anomaly detection in a physical model of a water supply system. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001; Zhiyuan Tan 001 (Ad Hoc Networks, 2021)

Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems. - Andres Robles-Durazno; Naghmeh Moradpoor; James McWhinnie; Gordon Russell 001; Jorge Porcel-Bustamante (Symmetry, 2021)

Neutralizing Adversarial Machine Learning in Industrial Control Systems Using Blockchain. - Naghmeh Moradpoor; Masoud Barati; Andres Robles-Durazno; Ezra Abah; James McWhinnie (Cyber Science, 2022)

The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System. - Naghmeh Moradpoor; Leandros Maglaras; Ezra Abah; Andres Robles-Durazno (DCOSS-IoT, 2023)