System identification
Introduction to statistical signal processing with applications
Introduction to statistical signal processing with applications
Securing wireless systems via lower layer enforcements
WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
Detecting identity-based attacks in wireless networks using signalprints
WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
Optimal training for block transmissions over doubly selective wireless fading channels
IEEE Transactions on Signal Processing
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
Your 80211 wireless network has no clothes
IEEE Wireless Communications
Using the physical layer for wireless authentication in time-variant channels
IEEE Transactions on Wireless Communications
On channel-based user authentication for mobile terminals
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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We consider a physical layer approach to enhance wireless security by using the unique wireless channel state information (CSI) of a legitimate user to authenticate subsequent transmissions from this user, thereby denying access to any spoofer whose CSI would significantly differ from that of the legitimate user by virtue of a different spatial location. In some existing approaches, multicarrier systems have been considered where the channel frequency response at distinct frequencies is used to devise a hypothesis testing approach: is the CSI of the current transmission (packet) the same as that of the previous transmission? In this paper we investigate a single-carrier time-domain approach via either residual testing or time-domain CSI comparison. A hypothesis testing approach is formulated to test whiteness of residuals from current transmission where the residuals are generated using the estimated channel from the previous transmission. We also consider a hypothesis testing approach where the time-domain CSI of the current transmission is compared with that of the previous transmission. Two binary hypothesis testing approaches are formulated and illustrated via simulations.