Visible to the public Physical Layer Authentication for Mobile Systems with Time-Varying Carrier Frequency Offsets

TitlePhysical Layer Authentication for Mobile Systems with Time-Varying Carrier Frequency Offsets
Publication TypeJournal Article
Year of Publication2014
AuthorsWeikun Hou, Xianbin Wang, Chouinard, J.-Y., Refaey, A.
JournalCommunications, IEEE Transactions on
Volume62
Pagination1658-1667
Date PublishedMay
ISSN0090-6778
Keywordsauthentication, carrier frequency offset (CFO), CFO, Doppler shift, Estimation, fading channels, hypothesis testing, Kalman filtering, Kalman filters, Kalman prediction error, mobile systems, multipath channels, multipath fading channels, nominal oscillating frequency, Physical layer, physical layer authentication, prototype platform, radio frequency oscillators, radio networks, radio receivers, radio transmitters, radiometric signature, receiver, SDR, Signal to noise ratio, signal-to-noise ratio, software defined radio, software radio, telecommunication security, time varying carrier frequency offsets, transmitter, Wireless communication, wireless communications devices, wireless device authentication
Abstract

A novel physical layer authentication scheme is proposed in this paper by exploiting the time-varying carrier frequency offset (CFO) associated with each pair of wireless communications devices. In realistic scenarios, radio frequency oscillators in each transmitter-and-receiver pair always present device-dependent biases to the nominal oscillating frequency. The combination of these biases and mobility-induced Doppler shift, characterized as a time-varying CFO, can be used as a radiometric signature for wireless device authentication. In the proposed authentication scheme, the variable CFO values at different communication times are first estimated. Kalman filtering is then employed to predict the current value by tracking the past CFO variation, which is modeled as an autoregressive random process. To achieve the proposed authentication, the current CFO estimate is compared with the Kalman predicted CFO using hypothesis testing to determine whether the signal has followed a consistent CFO pattern. An adaptive CFO variation threshold is derived for device discrimination according to the signal-to-noise ratio and the Kalman prediction error. In addition, a software-defined radio (SDR) based prototype platform has been developed to validate the feasibility of using CFO for authentication. Simulation results further confirm the effectiveness of the proposed scheme in multipath fading channels.

DOI10.1109/TCOMM.2014.032914.120921
Citation Key6804410