Multi-Channel Joint Signal Quality Monitor Method for Detecting GNSS Time Synchronization Attacks

Gao, Weiyu; Li, Hong; Lu, Mingquan

doi:10.33012/2021.18131

Cited by 5 publications

(2 citation statements)

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“…These methods have been verified against the simplistic spoofing design and part scenarios of the intermediate spoofing. Among them, signal quality monitoring (SQM) is one of the most effective spoofing detection methods for the intermediate spoofing by monitoring the complex correlation function of received signals [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

GNSS Spoofing Detection Using Q Channel Energy

Wang,

Tang,

et al. 2023

Remote Sensing

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Spoofing interference poses a significant challenge to the Global Navigation Satellite System (GNSS). To effectively combat intermediate spoofing signals, this paper presents an enhanced spoofing detection method based on abnormal energy of the quadrature (Q) channel correlators. The detailed principle of this detection method is introduced based on the received signal model under spoofing attack. The normalization parameter used in this method was the estimation of the noise floor. The performance of the proposed Q energy detector is validated through simulations, the Texas Spoofing Test Battery dataset and field tests. The results demonstrate that the proposed detector significantly enhances detection performance compared to signal quality monitoring methods, particularly in overpowered scenarios and dynamic scenarios. By increasing the detection probability in the presence of spoofing signals and decreasing the false alarm probability in the absence of spoofing signals, the proposed detector can better meet the requirements of practical applications.

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Section: Introductionmentioning

confidence: 99%

GNSS Spoofing Detection Using Q Channel Energy

Wang,

Tang,

et al. 2023

Remote Sensing

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“…In the real world, inevitable synchronization errors, variations in the SSR, code phase and carrier phase of the spoofing signal, and the target receiver settings impact the spoofing success rate [7], especially when appropriate antispoofing signal processing methods are employed by the target receiver. For example, GNSS signal quality monitoring (SQM) approaches can be applied for spoofing detection [8], [9]. The spoofing signal can also be detected by monitoring the signal power variation during the intrusion [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Necessary Condition for the Success of Synchronous GNSS Spoofing

2023

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A synchronous GNSS generator spoofer aims at directly taking over the tracking loops of the receiver with the lowest possible spoofing to signal ratio (SSR) without forcing it to lose lock. This paper investigates the factors that affect spoofing success and their relationships. The necessary conditions for successful spoofing are obtained by deriving the code tracking error in the presence of spoofing and analyzing the effects of SSR, spoofing synchronization errors, and receiver settings on the S-curve ambiguity and code tracking trajectory. The minimum SSRs for a successful spoofing calculated from the theoretical formulation agree with Monte Carlo simulations at digital intermediate frequency signal level within 1 dB when the spoofer pulls the code phase in the same direction as the code phase synchronization error, and the required SSRs can be much lower when pulling in the opposite direction. The maximum spoofing code phase error for a successful spoofing is tested by using TEXBAT datasets, which coincides with the theoretical results within 0.1 chip. This study reveals the mechanism of covert spoofing and can play a constructive role in the future development of spoofing and anti-spoofing methods.

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GNSS Anti-Spoofing: A Sliding Composite Delta Metric Using Maximum Likelihood Estimation

Jin,

Zhang,

et al. 2023

IEEE Sensors J.

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Multi-Channel Joint Signal Quality Monitor Method for Detecting GNSS Time Synchronization Attacks

Cited by 5 publications

References 0 publications

GNSS Spoofing Detection Using Q Channel Energy

GNSS Spoofing Detection Using Q Channel Energy

Necessary Condition for the Success of Synchronous GNSS Spoofing

GNSS Anti-Spoofing: A Sliding Composite Delta Metric Using Maximum Likelihood Estimation

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