Vestigial signal defense through signal quality monitoring techniques based on joint use of two metrics

Ali, Khurram; Manfredini, Esteban Garbin; Dovis, Fabio

doi:10.1109/plans.2014.6851499

Cited by 32 publications

(21 citation statements)

References 4 publications

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“…Signal quality monitoring (SQM) can also be used for detecting spoofed signals [127], [128]. This technique is based on Neyman Pearson (NP) detection theory.…”

Section: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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This literature review paper focuses on existing vulnerabilities associated with global navigation satellite systems (GNSSs). With respect to the civilian/non encrypted GNSSs, they are employed for proving positioning, navigation and timing (PNT) solutions across a wide range of industries. Some of these include electric power grids, stock exchange systems, cellular communications, agriculture, unmanned aerial systems and intelligent transportation systems. In this survey paper, physical degradations, existing threats and solutions adopted in academia and industry are presented. In regards to GNSS threats, jamming and spoofing attacks as well as detection techniques adopted in the literature are surveyed and summarized. Also discussed are multipath propagation in GNSS and non line-of-sight (NLoS) detection techniques. The review also identifies and discusses open research areas and techniques which can be investigated for the purpose of enhancing the robustness of GNSS.

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“…Signal quality monitoring (SQM) can also be used for detecting spoofed signals [127], [128]. This technique is based on Neyman Pearson (NP) detection theory.…”

Section: Signal Statistic Analyzing Methodsmentioning

confidence: 99%

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

et al. 2021

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“…The SQM technique has been proposed in many different papers for detection of distortions in the GPS correlation peak. It was initially thought of as a multipath detection technique [26], and following, was introduced as an effective spoofing detection algorithm [15]- [17]. It has also been combined with other measurements in order to distinguish between multipath and spoofing [18], [19], [21].…”

Section: Signal Quality Monitoringmentioning

confidence: 99%

Effective GPS Spoofing Detection Utilizing Metrics from Commercial Receivers

Manfredini¹,

Akos²,

Chen³

et al. 2018

The International Technical Meeting of the the Institute of Navigation

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Spoofing attacks are a major threat to civilian GNSS usage given the powerful impact that they have on a receiver. Many different anti-spoofing techniques have been developed in past years and best practices algorithms combine complimentary techniques to generate optimized protection. In this paper we utilize anti-spoofing techniques that make use of the outputs from commercial off the shelf receivers. It combines the observation of power measurements and the control of asymmetries in the correlation function. The technique's nominal behavior is assessed using real datasets from Wide Area Augmentation System stations and the spoofing detection capabilities are tested by means of the Texas spoofing test battery. The correlation between various metrics is also observed to lower the false alarm probabilities, particularly between the power measurement and the carrier to noise density ratio information. A major application of this observation is the distinction between spoofing attacks and interference events.

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“…Other signal processing techniques are based on the distribution analysis of the correlator output [30]. There exist also signal quality monitoring techniques, which aim at detecting distortions in the correlation function via the use of ratio metric tests [31,32,33,34,35]. Other techniques are based on the time of arrival and other consistency checks.…”

Section: Types Of Spoofing Attacks and Countermeasuresmentioning

confidence: 99%

“…It has been proven that the SQMT using RM works well detecting distortions in the correlation function [14,33]. Unfortunately, these techniques are not able to estimate the delay of the spoofing signal or mitigate the errors caused by these signals in the position and time solution.…”

Section: Using Ecadll Information For Spoofing Detectionmentioning

confidence: 99%

On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection

Manfredini

Dovis

2016

Sensors

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In this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architecture is able to effectively detect a spoofer attack, as well as distinguish it from other kinds of interference events. The new algorithm is used to classify them according to their characteristics. We also introduce the use of a ratio metric detector in order to reduce the detection latency and the computational load of the architecture.

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Vestigial signal defense through signal quality monitoring techniques based on joint use of two metrics

Cited by 32 publications

References 4 publications

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

Effective GPS Spoofing Detection Utilizing Metrics from Commercial Receivers

On the Use of a Feedback Tracking Architecture for Satellite Navigation Spoofing Detection

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