Neutralising Adversarial Machine Learning in Industrial Control Systems Using Blockchain
Conference Proceeding
Moradpoor, N., Barati, M., Robles-Durazno, A., Abah, E., & McWhinnie, J. (in press)
Neutralising Adversarial Machine Learning in Industrial Control Systems Using Blockchain.
The protection of critical national Infrastructures such as drinking water, gas, and electricity is extremely important as nations are dependent on their operation and steadin...
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2020)
Real-time anomaly intrusion detection for a clean water supply system, utilising machine learning with novel energy-based features. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN48605.2020.9207462
Industrial Control Systems have become a priority domain for cybersecurity practitioners due to the number of cyber-attacks against those systems has increased over the past f...
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2019)
WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels. In Proceedings of 15th IEEE International Conference on Control & Automation (ICCA)https://doi.org/10.1109/ICCA.2019.8899564
Industrial Control Systems (ICS) have faced a growing number of threats over the past few years. Reliance on isolated controls networks or air-gapped computers is no longer a ...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018. , (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...
Helicopter Lands on Uneven Terrain by means of Articulated Robotic Legs-Modelling, Simulation and Control Approach
Conference Proceeding
Boix, D. M., Goh, K., & McWhinnie, J. (2018)
Helicopter Lands on Uneven Terrain by means of Articulated Robotic Legs-Modelling, Simulation and Control Approach. In 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)https://doi.org/10.1109/aim.2018.8452431
In this paper, a 3D mathematical model of a helicopter attached to a robotic landing gear is proposed to investigate into helicopter landing on uneven terrain. The landing gea...
Modelling and control of helicopter robotic landing gear for uneven ground conditions
Conference Proceeding
Boix, D. M., Goh, K., & McWhinnie, J. (2017)
Modelling and control of helicopter robotic landing gear for uneven ground conditions. In Proceedings of 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS 2017https://doi.org/10.1109/RED-UAS.2017.8101644
This paper proposes a method to investigate into helicopter landing on uneven terrain by means of using a scaled articulated robotic landing gear. A mathematical model of an a...