On the Domain Generalizability of RF Fingerprints Through Multifractal Dimension Representation

arXiv:2402.10044v1 Announce Type: new
Abstract: RF data-driven device fingerprinting through the use of deep learning has recently surfaced as a possible method for enabling secure device identification and authentication. Traditional approaches are commonly susceptible to the domain adaptation problem where a model trained on data collected under one domain performs badly when tested on data collected under a different domain. Some examples of a domain change include varying the location or environment of the device and varying the time or …

adaptation arxiv authentication cs.cr data data-driven deep learning device domain fingerprinting fingerprints identification problem representation under