Statistical method for spoofing detection at mobile GNSS receivers
2019 (English)In: Proceedings of the International Symposium on Wireless Communication Systems, VDE Verlag GmbH , 2019, p. 677-681Conference paper, Published paper (Refereed)
Abstract [en]
We consider Global Navigation Satellite Systems (GNSS) spoofing attacks and devise a countermeasure appropriate for mobile GNSS receivers. Our approach is to design detectors that, operating after the signal acquisition, enable the victim receiver to determine with high probability whether it is under a spoofing attack. Namely, the binary hypothesis is that either the GNSS receiver tracks legitimate satellite signals, ℋ0, or spoofed signals, ℋ1. We estimate power and angle of arrival (AOA) of received signals. A key assumption on the attacker sophistication: Spoofed signals come from one signal source, typically the attacker radio, instead of multiple sources, the satellites, for legitimate signals. We analyze and compare the detectors performance and we derive some lower bounds on the estimation quality for unknown parameters. Based on the simulation results, the detectors can operate on low SNR that is applicable for GNSS.
Place, publisher, year, edition, pages
VDE Verlag GmbH , 2019. p. 677-681
Keywords [en]
GLRT, GNSS, Maximum Likelihood, Spoofer, Maximum likelihood estimation, Satellites, Signal processing, Signal receivers, Binary hypothesis, Estimation quality, Global Navigation Satellite Systems, Satellite signals, Signal acquisitions, Global positioning system
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-40872DOI: 10.1109/ISWCS.2019.8877106Scopus ID: 2-s2.0-85074668227ISBN: 9781728125275 (print)OAI: oai:DiVA.org:ri-40872DiVA, id: diva2:1376850
Conference
16th International Symposium on Wireless Communication Systems, ISWCS 2019, 27 August 2019 through 30 August 2019
Note
Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding text 1: This work was supported by the SURPRISE project funded by the Swedish Foundation for Strategic Research (SSF), and by Security-Link.
2019-12-102019-12-102025-09-23Bibliographically approved