Researchers propose AI agents to protect EV charging stations
9 reported
Researchers at the University of Malaga in Spain have developed a proposal to use AI agents to protect electric-vehicle charging infrastructure from cyberattacks. The system is designed to detect anomalies and attacks across charging networks using the Open Charge Point Protocol, a widely used standard for charger operation and management. The researchers say current monitoring mechanisms offer a limited view of infrastructure, making it difficult to identify where anomalies occur or how attacks might spread. Their proposed system uses multiple AI agents at each charging station that analyze their environment, collect information, and collaborate with other agents to build a comprehensive view of the network’s state. The system also employs a consensus mechanism based on opinion dynamics, which mimics human social exchange to reduce false positives and detect anomalies that might otherwise go unnoticed. Blockchain technology is used as a trust and validation mechanism, recording all agent transactions in an unalterable distributed ledger. The researchers tested the system in a simulated OCPP-compliant charging environment, exposing agents to component failures, communication errors, and coordinated response scenarios, and reported that the combination of AI agents, consensus mechanism, and blockchain provided a global view of the network and improved diagnostic accuracy.
What’s reported
Cristina Alcaraz, an infrastructure-security researcher at Spain’s University of Malaga, says EV charging stations integrate multiple physical and digital components, presenting security vulnerabilities.
Researchers from the NICS lab at the University of Malaga developed the proposal to deploy AI agents to prevent cyberattacks from fraud or energy theft to larger attacks on critical-energy networks.
The system uses the Open Charge Point Protocol, one of the most widely used standards for EV charger operation and management.
Current monitoring mechanisms based on this protocol focus on network traffic or local events, offering a limited view of regional infrastructure.
Each station or component incorporates AI agents that analyze their environment, collect information, and collaborate with other agents.
The system uses a consensus mechanism based on opinion dynamics, a mathematical framework that mimics human social exchange to reach agreements.
Blockchain technology records all agent transactions in a distributed ledger that cannot be altered afterward.
The system was tested in a simulated OCPP-compliant charging environment with anomaly scenarios including component failures, communication link errors, and coordinated response situations.
The university lab said in a press statement: “This system provides a new way to guarantee the protection of electric-vehicle charging infrastructure.”
Key figures
Cristina Alcaraz, infrastructure-security researcher at Spain’s University of Malaga, lead author of the report
Researchers from the NICS lab at the University of Malaga
Sources: Wired
