Identification of Wireless Devices of Users Who Actively Fake Their RF Fingerprints With Artificial Data Distortion

摘要: Variations in the RF chain of radio transmitters caused by imperfections manufacturing processes can be used as a signature to uniquely associate wireless devices with given transmission. In our previous work, we proposed model-based approach that allows for identification based on signatures obtained time domain analysis pair received and decoded signals. Here, consider strong adversaries who intentionally introduce distortions data symbols before are exposed transmitter's inherent nonlinearities, intention faking their while still allowing proper decoding. The method this work is spectral observation nonlinear components cause in-band distortion regrowth signal dependent parameters nonlinearity. Hence, spectrum well regrowth, show successfully identified even when users digitally modifying symbols. utility demonstrated simulations from measurements commercially employed WLAN