Title: GNSS Receiver Identification using Clock-derived Metrics
Authors: BORIO DANIELEGIOIA CIROCANO PONS EDUARDOBALDINI GIANMARCO
Citation: SENSORS vol. 17 no. 9 p. 2120
Publisher: MDPI AG
Publication Year: 2017
JRC N°: JRC106183
ISSN: 1424-8220
URI: http://www.mdpi.com/1424-8220/17/9/2120
http://publications.jrc.ec.europa.eu/repository/handle/JRC106183
DOI: 10.3390/s17092120
Type: Articles in periodicals and books
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 minutes are sufficient to produce stable features for fingerprinting.
JRC Directorate:Space, Security and Migration

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