SIROCCO
Cybersecurity solutions for wind farms using AI models to prevent disruption and damage.

Year
8
Project
SIROCCO
University
Anglia Ruskin University
Market Need
The distributed nature of windfarms makes them highly susceptible to cyber threats, yet current solutions fail to address these unique risks. A recent rise in cyberattacks on windfarms, such as those seen in Germany, Denmark, Portugal, and the Netherlands, has caused significant disruptions, production losses, and asset damage.
With cyber threats constantly evolving, and as wing energy expands, realtime adaptive AI models are crucial to stay ahead of emerging attacks and ensure continuous protection to critical infrastructure.
Solution
SIROCCO uses explainable AI algorithms to identify and mitigate cyber threats, ensuring continuous protection and transparency into decision-making processes.
The solution implements federated learning to create a cybersecurity system across turbines and control centres, reducing the risks associated with centralised systems, and applies online learning to adapt to emerging threats by training on new data as it becomes available. The tamper-proof models designed to address the unique challenges of wind farm infrastructure ensure robust protection against attacks targeting the AI models themselves.
Target Market
- Operational technology security companies
- Energy companies
- IoT companies
Status
- Proof of concept and a basic GUI are ready for use.
Needs
- Collaborators to help develop the minimum viable product.