Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities

arXiv:2310.16406v2 Announce Type: replace
Abstract: Radio Frequency Fingerprinting (RFF) techniques promise to authenticate wireless devices at the physical layer based on inherent hardware imperfections introduced during manufacturing. Such RF transmitter imperfections are reflected into over-the-air signals, allowing receivers to accurately identify the RF transmitting source. Recent advances in Machine Learning, particularly in Deep Learning (DL), have improved the ability of RFF systems to extract and learn complex features that make up the device-specific fingerprint. However, integrating DL techniques with RFF …

air arxiv authenticate challenges cs.ai cs.cr deep learning devices eess.sp fingerprinting hardware identify machine machine learning manufacturing opportunities physical radio signals techniques transmitter wireless