Andres Robles-Durazno
Orcid: 0000-0002-8330-8312
According to our database1,
Andres Robles-Durazno
authored at least 9 papers
between 2018 and 2023.
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Bibliography
2023
The Threat of Adversarial Attacks Against Machine Learning-based Anomaly Detection Approach in a Clean Water Treatment System.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023
2022
Neutralizing Adversarial Machine Learning in Industrial Control Systems Using Blockchain.
Proceedings of the International Conference on Cybersecurity, 2022
2021
Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems.
Symmetry, 2021
Newly engineered energy-based features for supervised anomaly detection in a physical model of a water supply system.
Ad Hoc Networks, 2021
VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021
2020
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Int. J. Crit. Infrastructure Prot., 2019
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels<sup>*</sup>.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
2018
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.
Proceedings of the 2018 International Conference on Cyber Security and Protection of Digital Services, 2018