
DEFENDIS: Decentralized Federated Learning for IoT Device Identification and Security
DEFENDIS develops a framework for uniquely identifying IoT devices in a distributed manner while solving security threats through decentralized federated learning.
Security problemIoT deployments need device identity mechanisms that remain useful when central services are unavailable, compromised, or unsuitable for sensitive telemetry.






