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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | The University of Manchester |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Mar 30, 2028 |
| Duration | 1,277 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2933087 |
The project aims to build and demonstrate an integrated cyber defence (ICD) platform to provide a foundation on which to build essential cyber-safe and resilient functions for electricity network production, Automation and Control (PAC) systems at substations, and SCADA systems at system level against advanced cyber-attacks, and to accelerate the UK confidently moving to low carbon economy.
The project will harness advanced AI and ML technologies to build a dual defence system against advanced cyber threats. The scope of the dual cyber defence system is firstly to build a cyber-Intrusion Detection System (IDS) to protect the electricity network against known or advanced cyber-attacks, and then to develop a cyber-Intrusion Response/defence System (IRS) based on machine learning for the electricity network PAC systems against malicious control action for the infected substations and SCADA system at the system level.
The University of Manchester
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