The rise in electric vehicle (EV) adoption is driving the development of secure charging infrastructure, but with it comes new cybersecurity risks. Researchers at the University of Malaga have proposed an innovative solution to protect these systems using AI agents that monitor and defend against potential attacks.

The team’s proposal involves deploying AI agents across EV chargers, which can analyze their environment, detect anomalies and share information with other agents to build a comprehensive picture of the infrastructure's state. This system uses a consensus mechanism based on opinion dynamics to reduce false positives and improve accuracy.

These AI agents are connected to a central monitoring system that handles tasks such as user authentication, electrical load management, and technical diagnostics. By integrating blockchain technology for trust and validation, the system ensures the integrity of transactions and traceability of events.

In tests, the multi-agent system successfully identified anomalies in individual devices and coordinated responses across multiple stations, demonstrating its effectiveness in providing a global view of network conditions.

This approach not only enhances security but also addresses current limitations in monitoring mechanisms that focus solely on local events. As EVs become more prevalent, robust cybersecurity measures are crucial to ensure the continued adoption of this technology without compromising safety or efficiency.