| Stealthy MTD Against Unsupervised Learning-based Blind FDI Attacks in Power Systems M Higgins, F Teng, T Parisini IEEE Transactions on Information Forensics and Security, 2020 | 40 | 2020 |
| Blending Data and Physics Against False Data Injection Attack: An Event-Triggered Moving Target Defence Approach W Xu, M Higgins, J Wang, IM Jaimoukha, F Teng IEEE Transactions on Smart Grid, 2023 | 11 | 2023 |
| Enhanced Cyber-Physical Security Using Attack-resistant Cyber Nodes and Event-triggered Moving Target Defence M Higgins, K Mayes, F Teng IET Cyber-Physical Systems: Theory & Applications, 2020 | 10 | 2020 |
| Topology learning aided false data injection attack without prior topology information M Higgins, J Zhang, N Zhang, F Teng 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | 8 | 2021 |
| Cyber–physical risk assessment for false data injection attacks considering moving target defences M Higgins, W Xu, F Teng, T Parisini International Journal of Information Security, 2022 | 7* | 2022 |
| Operational Moving Target Defences for Improved Power System Cyber-Physical Security M Higgins Imperial College, 2022 | 1 | 2022 |
| Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles M Higgins, D Jha, D Wallom IEEE Smart World Congress (SmartWorld 2023), 2023 | | 2023 |
| Detecting smart meter false data attacks using hierarchical feature clustering and incentive weighted anomaly detection M Higgins, B Stephen, D Wallom IET Cyber‐Physical Systems: Theory & Applications, 2023 | | 2023 |
| Distributed Policy Making (DPM) via Permissive Legislation for re-industrialisation of our left behind towns and cities: How to turn Turf Moor into Singapore. M Higgins 10 ways to supercharge left-behind Britain, 2022 | | 2022 |
| Locational Marginal Pricing: Towards a Free Market in Power M Higgins Richard Koch Student Prize, 2019 | | 2019 |
Fei TengSenior Lecturer (Associate Professor), Imperial College LondonVerified email at imperial.ac.uk
