GNSS Spoofing Detection via Self-Consistent Verification of Receiver’s Clock State

Global Navigation Satellite System (GNSS) signals are highly vulnerable to spoofing attacks, which can cause positioning errors and pose serious threats to user receivers. Therefore, the development of efficient and reliable spoofing detection techniques has become an urgent requirement for ensuring GNSS security. In spoofing attacks, attackers introduce additional bias in the Doppler shift. However, detection methods that rely on extracting this deviation from raw measurements suffer from limited practicality, and existing alternative detection schemes based on position, velocity, and time (PVT) information exhibit poor adaptability to diverse scenarios. To address these limitations, this paper proposes a spoofing detection method based on the self-consistency verification of the receiver's clock state (SCV-RCS). Its core statistic is the cumulative difference between the estimated clock bias and the bias obtained by integrating clock drift. By monitoring this consistency, SCV-RCS identifies anomalies in pseudorange and Doppler observations without complex bias extraction or auxiliary hardware, ensuring easy deployment. Simulation and experimental results demonstrate the method's effectiveness across diverse spoofing scenarios. It achieves the fastest alarm delay of ≤2 s while providing continuous alerting capability in full-channel and partial-channel spoofing. This study provides a robust and reliable solution for GNSS receivers operating in complex spoofing environments.

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Publication Details

Journal
Sensors
Published
2026-01-08
DOI
https://doi.org/10.3390/s26020397
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
0.00

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article

GNSS Spoofing Detection via Self-Consistent Verification of Receiver’s Clock State

L. Wang, Yue Jiang, Yu Chen, Yibo Liu et al.
Sensors
GNSS positioning and interference
article

GNSS Spoofing Detection via Self-Consistent Verification of Receiver’s Clock State

L. Wang, Yue Jiang, Yu Chen, Yibo Liu, Yonghang Jiang, Rong Yang, Xingqiang Liu, Chenggan Wen, Xiangyang Peng, Xinchen He, Jiong Yi
article en

Abstract

Global Navigation Satellite System (GNSS) signals are highly vulnerable to spoofing attacks, which can cause positioning errors and pose serious threats to user receivers. Therefore, the development of efficient and reliable spoofing detection techniques has become an urgent requirement for ensuring GNSS security. In spoofing attacks, attackers introduce additional bias in the Doppler shift. However, detection methods that rely on extracting this deviation from raw measurements suffer from limited practicality, and existing alternative detection schemes based on position, velocity, and time (PVT) information exhibit poor adaptability to diverse scenarios. To address these limitations, this paper proposes a spoofing detection method based on the self-consistency verification of the receiver's clock state (SCV-RCS). Its core statistic is the cumulative difference between the estimated clock bias and the bias obtained by integrating clock drift. By monitoring this consistency, SCV-RCS identifies anomalies in pseudorange and Doppler observations without complex bias extraction or auxiliary hardware, ensuring easy deployment. Simulation and experimental results demonstrate the method's effectiveness across diverse spoofing scenarios. It achieves the fastest alarm delay of ≤2 s while providing continuous alerting capability in full-channel and partial-channel spoofing. This study provides a robust and reliable solution for GNSS receivers operating in complex spoofing environments.

SensorsVol. 26(2)
National University of Defense Technology (CN), Changsha University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 97%
GNSS positioning and interference
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