RF Fingerprint detection in a wireless multipath channel

Kennedy, Irwin O.; Kuzminskiy, A.M.

doi:10.1109/iswcs.2010.5624371

Cited by 21 publications

(14 citation statements)

References 8 publications

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“…The impact of the channel effects on the RFF have been reported as either insignificant or as negative in the literature so far, meaning that the transmitter features were either found to be invariant to the type of channel (static versus fading, multipath versus single path, etc.) [ 53 , 54 ] or to adversely affect the transmitter features, by smoothing them out [ 55 ]. However, very few studies, to the best of our knowledge, addressed the impact of channel impairments on the RFF, and to date, all have been performed in a non-GNSS context.…”

Section: Equivalent Block Diagrams For Gnss and Spoofing Signalsmentioning

confidence: 99%

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

Wang

Sánchez

Caparra

et al. 2021

Sensors

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Radio frequency fingerprinting (RFF) methods are becoming more and more popular in the context of identifying genuine transmitters and distinguishing them from malicious or non-authorized transmitters, such as spoofers and jammers. RFF approaches have been studied to a moderate-to-great extent in the context of non-GNSS transmitters, such as WiFi, IoT, or cellular transmitters, but they have not yet been addressed much in the context of GNSS transmitters. In addition, the few RFF-related works in GNSS context are based on post-correlation or navigation data and no author has yet addressed the RFF problem in GNSS with pre-correlation data. Moreover, RFF methods in any of the three domains (pre-correlation, post-correlation, or navigation) are still hard to be found in the context of GNSS. The goal of this paper was two-fold: first, to provide a comprehensive survey of the RFF methods applicable in the GNSS context; and secondly, to propose a novel RFF methodology for spoofing detection, with a focus on GNSS pre-correlation data, but also applicable in a wider context. In order to support our proposed methodology, we qualitatively investigated the capability of different methods to be used in the context of pre-correlation sampled GNSS data, and we present a simulation-based example, under ideal noise conditions, of how the feature down selection can be done. We are also pointing out which of the transmitter features are likely to play the biggest roles in the RFF in GNSS, and which features are likely to fail in helping RFF-based spoofing detection.

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Section: Equivalent Block Diagrams For Gnss and Spoofing Signalsmentioning

confidence: 99%

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

Wang

Sánchez

Caparra

et al. 2021

Sensors

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“…The errors introduced by the modulator of the transmitter are utilized in steady state-based (modulation based) RF fingerprinting. Many researchers have explored ways to form unique RF fingerprint from these errors [9,12,23,24,[33][34][35][36][37][38]. Mainly, the offset in Inphase/Quadrature (I/Q) components, frequency error, phase and magnitude errors of the frames, Power Spectral Density coefficients of preambles or variant of these features are used in the modulation-based fingerprinting.…”

Section: Rf Fingerprinting Backgroundmentioning

confidence: 99%

Analysis of impersonation attacks on systems using RF fingerprinting and low-end receivers

Rehman

Sowerby

Coghill

2014

Journal of Computer and System Sciences

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“…Although the 99 percent classification accuracy has been achieved for a set of 20 different models of WCDMA transmiters in [4], the accuracy dropped down to 75 percent in the case of the 11 identical models of the same manufacturer.…”

Section: Introductionmentioning

confidence: 97%

Experimental study of wireless transceiver authentication using carrier frequency offset monitoring

Pospíšil

Mars̆álek

2015

2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)

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The research presented in this paper is oriented towards the physical layer security for wireless transceivers. Such approach is, besides to standard security provided at the bit level where the devices are identified using a MAC address or IMEI, able to provide additional level of security for any wireless devices, regardless the standard. The aim is to evaluate a potential to authenticate a set of wireless transceivers using measurement of the relative carrier frequency offsets between their local oscillators. Transmission of Orthogonal Frequency Division Multiplex signals is considered. The carrier frequency offset is estimated using the embedded zero subcarriers (DC or special inserted ones). The measurements have been done using three Universal Software Radio Peripheral (USRP) devices.

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RF Fingerprint detection in a wireless multipath channel

Cited by 21 publications

References 8 publications

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

A Survey of Spoofer Detection Techniques via Radio Frequency Fingerprinting with Focus on the GNSS Pre-Correlation Sampled Data

Analysis of impersonation attacks on systems using RF fingerprinting and low-end receivers

Experimental study of wireless transceiver authentication using carrier frequency offset monitoring

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