Automotive Cybersecurity Assessment of Energy Grids using Digital Twins for EV Applications
This project aims to enhance the cybersecurity and operational stability of energy grids by developing advanced energy digital twins specifically tailored for Electric Vehicle (EV) charging infrastructure. By simulating and analysing cyber threats within a Digital Twin environment, the project enables improved resilience of critical energy systems, ensuring secure, efficient and future-ready grid operations.

Brief
The initiative brings together CyberAutonomy’s energy digital twin platform and Secure Elements’ CRISKLE cybersecurity suite to simulate, model and assess vulnerabilities in EV-grid interactions.
It introduces four core innovations:
(1) EV and Grid Digital Twin for behaviour simulation,
(2) CRISKLE-powered threat and cybersecurity risk assessment (TARA),
(3) Vehicle to Grid (and vice versa) interaction modelling to understand Predicted Maintenance and Dynamic Load Management behavior in the context of ongoing cyber-attacks (DOS, MITM) in the EV-Grid system and
(4) Vehicle and Grid based Intrusion Detection System [IDS] IDS to detect simulated cyberattacks.
Outcomes
1.Enhanced Grid Cybersecurity: Increased resilience of EV charging infrastructure and grid systems against cyber threats like MitM and DoS attacks.
2.Real-time Intrusion Detection: Deployment of a vehicle digital twin-based IDS that identifies anomalies and logs them to CRISKLE’s Mobility Security Operations Centre (MSoC).
3. Validated Simulation Models: Use of digital twins to simulate complex cyberattack scenarios that are impractical to recreate physically.
4. Interoperable, Data-Driven Insights: High-quality, interoperable data outputs for energy providers to improve grid operations and response strategies.
5. Commercialisation and Collaboration: Increased SME and academic collaboration leading to commercially viable cybersecurity solutions for EV providers and Energy/Grid Networks.
Consortium
The consortium is led by:
Secure Elements, an automotive cybersecurity SME, will manage cybersecurity assessments via CRISKLE and operate the MSoC.
CyberAutonomy, an SME provides the Digital Twin capability.
Robert Gordon University (RGU) will lead the Model Based Systems Engineering [MBSE] based development of EV-Grid as a System Model and will conduct project evaluation.
Industry and regulatory engagement are supported through Techwork’s community to ensure project dissemination, real-world relevance and application.
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