Empowering cybersecurity in public drinking water supply systems

Domain #1
Sensitive infrastructure protection

Challenge 1.1. Development of cybersecurity solutions for sensitive infrastructure protection

Demonstrator

Demonstrator

Open Call #2 laureate

Description of the project

FlowGuard is based on the combination of IoT sensing infrastructure and Artificial Intelligence (Graph Neural Networks). Graph Neural Networks (GNNs) and IoT can play a significant role in preventing or mitigating cyber-attacks on public drinking water supply systems. GNNs can analyze large-scale graph data from the water system and identify any anomalous behavior or potential vulnerabilities in the network. GNNs and IoT can help with incident response by quickly identifying the source and extent of the attack, enabling targeted and efficient remediation. By responding quickly and effectively to a cyberattack, panic and potential harm to the general population can be avoided.

Mid-term project update

The FLOWGUARD project marks a pivotal advancement in water treatment security, reaching its midterm with remarkable achievements. We’ve successfully gathered and refined extensive historical data on water networks, setting a robust foundation for our cuttingedge analysis. Our team has pioneered the integration of Graph Neural Network (GNN) algorithms to map the intricate network of water distribution, ensuring high fidelity in modeling. Notably, we’ve developed a baseline model employing XGBoost, which has already demonstrated promising potential in detecting anomalies and that will serve as a comparing standpoint for our graph neural networks (GNN) developments. Our current efforts are concentrated on finetuning the GNN’s performance, leveraging MLOps strategies to optimize its predictive accuracy. Throughout the process, our milestones have been meticulously documented via the Weights and Biases platform, ensuring transparent progress tracking. Our work not only enhances the security of critical infrastructures like water treament plants but also sets a new standard for utilizing AI in public utility monitoring. Stay tuned for further updates as we continue to push the boundaries of technology for the safety and security of our water systems and the society as a whole.

Project consortium

AirTrace Technologies SL
AirTrace Technologies SL
🇪🇸
Spain
Neoradix Smartgreen SL
Neoradix Smartgreen SL
🇪🇸
Spain

MORE INFO

Project presentation – SecurIT Awards application video