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Sensors 2017, 17(9), 2120; doi:10.3390/s17092120

GNSS Receiver Identification Using Clock-Derived Metrics

European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy
This paper is an extended version of our paper published in Borio, D.; Gioia, C.; Baldini, G.; Fortuny, J. GNSS Receiver Fingerprinting for Security-Enhanced Applications. In the Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016), Portland, OR, USA, 12–26 September 2016; pp. 2960–2970.
Current address: European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra (VA), Italy.
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Received: 28 July 2017 / Revised: 11 September 2017 / Accepted: 12 September 2017 / Published: 15 September 2017
(This article belongs to the Section Sensor Networks)
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Abstract

Falsifying Global Navigation Satellite System (GNSS) data with a simulator or with a fake receiver can have a significant economic or safety impact in many transportation applications where Position, Velocity and Time (PVT) are used to enforce a regulation. In this context, the authentication of the source of the PVT data (i.e., the GNSS receiver) is a requirement since data faking can become a serious threat. Receiver fingerprinting techniques represent possible countermeasures to verify the authenticity of a GNSS receiver and of its data. Herein, the potential of clock-derived metrics for GNSS receiver fingerprinting is investigated, and a filter approach is implemented for feature selection. Novel experimental results show that three intrinsic features are sufficient to identify a receiver. Moreover, the adopted technique is time effective as data blocks of about 40 min are sufficient to produce stable features for fingerprinting. View Full-Text
Keywords: fingerprinting; features; Global Navigation Satellite System (GNSS); receiver identification; security fingerprinting; features; Global Navigation Satellite System (GNSS); receiver identification; security
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Borio, D.; Gioia, C.; Cano Pons, E.; Baldini, G. GNSS Receiver Identification Using Clock-Derived Metrics. Sensors 2017, 17, 2120.

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