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Sensors (Basel). 2017 Sep 15;17(9). doi: 10.3390/s17092120.

GNSS Receiver Identification Using Clock-Derived Metrics.

Sensors (Basel, Switzerland)

Daniele Borio, Ciro Gioia, Eduardo Cano Pons, Gianmarco Baldini

Affiliations

  1. European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy. [email protected].
  2. European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy. [email protected].
  3. European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy. [email protected].
  4. European Commission, Joint Research Centre (JRC), Directorate for Space, Security and Migration, 21027 Ispra (VA), Italy. [email protected].

PMID: 28914760 PMCID: PMC5620734 DOI: 10.3390/s17092120

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.

Keywords: Global Navigation Satellite System (GNSS); features; fingerprinting; receiver identification; security

Conflict of interest statement

The authors declare no conflict of interest.

References

  1. Sensors (Basel). 2016 Jun 03;16(6):null - PubMed
  2. Sensors (Basel). 2017 Apr 06;17 (4):null - PubMed

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