Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication. (arXiv:2209.00786v1 [cs.CR])

Deep learning based device fingerprinting has emerged as a key method of
identifying and authenticating devices solely via their captured RF
transmissions. Conventional approaches are not portable to different domains in
that if a model is trained on data from one domain, it will not perform well on
data from a different but related domain. Examples of such domains include the
receiver hardware used for collecting the data, the day/time on which data was
captured, and the protocol configuration of …

authentication deep learning device domain lora portable