Unidentified devices in a network can result in devastating consequences. It is, therefore, necessary to fingerprint and identify IoT devices connected to private or critical networks. With the proliferation of massive but heterogeneous IoT devices, it is getting challenging to detect vulnerable devices connected to networks. … Federated learning (FL) has been regarded as a promising paradigm for decentralized learning and has been applied in many different use cases. … In this article, we propose a privacy-preserved IoT device fingerprinting and identification mechanisms using FL.”

Find the paper and full list of authors at ACM Transactions on Internet of Things.