Federated Detection of Open Charge Point Protocol 1.6 Cyberattacks
This research proposes using Federated Learning (FL) to monitor EV charging infrastructure and detect cyberattacks against OCPP 1.6 protocol vulnerabilities like False Data Injection and flooding attacks. By having multiple charging hubs train a global AI model locally, the system achieves high detection performance, proving FL is effective for securing vulnerable smart energy systems.