Ідентифікація мобільних пристроїв під впливом шуму

Abstract

This work studies the impact of signal-to-noise ratio (SNR) on spectral features used for identifying mobile devices in Wi-Fi networks via radio-frequency fingerprints. The mean square difference and skewness coefficient of spectra are analyzed, and simulation results show that identification remains reliable above certain SNR thresholds.