Validation of a signal quality monitoring technique over a set of spoofed scenarios

Manfredini, Esteban Garbin; Dovis, Fabio; Motella, Beatrice

doi:10.1109/navitec.2014.7045136

Cited by 34 publications

(18 citation statements)

References 7 publications

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“…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]. Fig.…”

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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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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“…Figure 9 a shows the ratio metric, which is one of the most widely-used metrics in the SQM technique. It is defined as

, where

and

are the early, late and prompt taps on the in-phase component, respectively [ 15 ]. Here, the correlator spacing is set to 0.25 code chip; therefore, the ratio metrics should be about 0.75 when the spoofing signal is absent.…”

Section: Performance Evaluation With Texbatmentioning

confidence: 99%

“…Other countermeasures are applied in single antenna receivers by detecting the abnormality and inconsistency of measurements. For example, signal quality monitoring (SQM) techniques detect the distortion of correlation results in the tracking stage [ 15 ]. Receiver autonomous integrity monitoring (RAIM) checks the consistency between pseudorange measurements of different satellites [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

GNSS Spoofing Detection and Mitigation Based on Maximum Likelihood Estimation

Wang

2017

Sensors

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Spoofing attacks are threatening the global navigation satellite system (GNSS). The maximum likelihood estimation (MLE)-based positioning technique is a direct positioning method originally developed for multipath rejection and weak signal processing. We find this method also has a potential ability for GNSS anti-spoofing since a spoofing attack that misleads the positioning and timing result will cause distortion to the MLE cost function. Based on the method, an estimation-cancellation approach is presented to detect spoofing attacks and recover the navigation solution. A statistic is derived for spoofing detection with the principle of the generalized likelihood ratio test (GLRT). Then, the MLE cost function is decomposed to further validate whether the navigation solution obtained by MLE-based positioning is formed by consistent signals. Both formulae and simulations are provided to evaluate the anti-spoofing performance. Experiments with recordings in real GNSS spoofing scenarios are also performed to validate the practicability of the approach. Results show that the method works even when the code phase differences between the spoofing and authentic signals are much less than one code chip, which can improve the availability of GNSS service greatly under spoofing attacks.

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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%

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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Validation of a signal quality monitoring technique over a set of spoofed scenarios

Cited by 34 publications

References 7 publications

Effective GPS Spoofing Detection Utilizing Metrics from Commercial Receivers

Effective GPS Spoofing Detection Utilizing Metrics from Commercial Receivers

GNSS Spoofing Detection and Mitigation Based on Maximum Likelihood Estimation

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

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