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

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.

Project consortium

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