A Spoofing Detection Method for Civilian L1 GPS and the E1-B Galileo Safety of Life Service

Wullems, Chris

doi:10.1109/taes.2012.6324665

Cited by 33 publications

(6 citation statements)

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“…GPS signal security is an important aspect for the presented solution and is an active research topic [28]- [30]. Forays into GPS signal security are out of the scope of this paper and for the purposes of the solution we assume that the setup is capable to detect GPS spoofing attempts, as described in [28], [30].…”

Section: Security Analysismentioning

confidence: 99%

“…Forays into GPS signal security are out of the scope of this paper and for the purposes of the solution we assume that the setup is capable to detect GPS spoofing attempts, as described in [28], [30]. However, we consider GPS security at application level, to ensure that daemon D is not tampered and it reads the location data from an interface which is connected to a valid, physical navigation device.…”

Section: Security Analysismentioning

confidence: 99%

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Trusted Geolocation-Aware Data Placement in Infrastructure Clouds

Paladi

Aslam

Gehrmann³

2014

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

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Data geolocation in the cloud is becoming an increasingly pressing problem, aggravated by incompatible legislation in different jurisdictions and compliance requirements of data owners. In this work we present a mechanism allowing cloud users to control the geographical location of their data, stored or processed in plaintext on the premises of Infrastructure-as-a-Service cloud providers. We use trusted computing principles and remote attestation to establish platform state. We enable cloud users to confine plaintext data exclusively to the jurisdictions they specify, by sealing decryption keys used to obtain plaintext data to the combination of cloud host geolocation and platform state. We provide a detailed description of the implementation as well as performance measurements on an open source cloud infrastructure platform using commodity hardware.

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Section: Security Analysismentioning

confidence: 99%

Section: Security Analysismentioning

confidence: 99%

Trusted Geolocation-Aware Data Placement in Infrastructure Clouds

Paladi

Aslam

Gehrmann³

2014

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

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“…All environmental conditions and interferences have a significant effect on ACF 8 . These conditions and interferences can be identified using SQM techniques 9 . In Wesson et al, 10 many SQM techniques are discussed in terms of their performance for particular uses like Delta Metric, Early–Late Phase Metric, and Magnitude Difference Metric, among others.…”

Section: Introductionmentioning

confidence: 99%

Global Navigation Satellite Systems Spoofing Detection through measured Autocorrelation Function Shape Distortion

Khan

Ahmad

2021

Satell Commun Network

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Summary With the expansion in Global Navigation Satellite System (GNSS) constellations and emerging applications utilizing GNSS systems, the issue of detection of interference is evolving as a growing concern in the satellite navigation user community. Threats for GNSS users can be classified as unintentional interference, jamming, and spoofing. Spoofing is more harmful among them because the target receiver might not be aware of the attack and, as a consequence, generate misleading position information. Spoofing attacks are classified as simplistic, intermediate, and sophisticated depending on their complexity of implementation. We focused primarily on the detection of intermediate spoofing attacks by measuring shape distortion (SD) through multiple correlators that cover multiple chips around the prompt tracking point. The SD metric compares the measured and typical values of the autocorrelation function and decides on the spoofing using a noise variance based threshold. The proposed SD metric is found to be very effective in detecting the spoofing attack during the pull‐off phase of the attack. The method is verified through simulations, synthetic spoofing data, and the TEXBAT data shared by the University of Texas, Austin. Different formulations of the proposed method are compared to provide an optimal number of correlator taps in each channel.

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“…Spoofing are performed by generating signals that strongly resemble genuine GNSS signals, or by repeating real GNSS signals. Target receiver mistakes the spoofing signal for a real signal, and tracks this signal, thereby outputting either erroneous positioning solutions or no information [8]. Spoofing carry the greatest potential for damage among all GNSS interference techniques [9].…”

Section: Introductionmentioning

confidence: 99%

Asynchronous Lift-Off Spoofing on Satellite Navigation Receivers in the Signal Tracking Stage

Gao

Zhang

2020

IEEE Sensors J.

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As Global Navigation Satellite System (GNSS) spoofing techniques are highly stealthy and pose a tremendous risk to targets using GNSS technology, studies on GNSS spoofing techniques have been in the spotlight. If the accurate position and velocity of the target receiver can be obtained, the target receiver can be covertly spoofed during the signal tracking stage using synchronous lift-off spoofing. However, it is often difficult to accurately obtain the position and velocity of a target in real GNSS spoofing scenarios. To address this problem, To study the effects of spoofing signals' power (relative to the real signal), code pulling rate, carrier Doppler shift, initial code phase difference, and carrier phase difference on the efficacy of spoofing, the intrusion of receiver's signal tracking loop by spoofing signals is mathematically modeled. Based on the model, an asynchronous lift-off spoofing for GNSS receivers in the signal tracking stage is proposed. Theoretical analysis and experimental results show that the new method resulted in stable Doppler frequency variations, short fluctuations in carrier-to-noise ratio (C/N) and signal lock time, and gentle changes to the receiver's 3D Earth-Centered Earth Fixed (ECEF) coordinates, when the target's position and velocity were approximately known during the intrusion period. The proposed spoofing method is highly feasible and could expand the scope of applicability of lift-off spoofing.

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A Spoofing Detection Method for Civilian L1 GPS and the E1-B Galileo Safety of Life Service

Cited by 33 publications

References 1 publication

Trusted Geolocation-Aware Data Placement in Infrastructure Clouds

Trusted Geolocation-Aware Data Placement in Infrastructure Clouds

Global Navigation Satellite Systems Spoofing Detection through measured Autocorrelation Function Shape Distortion

Asynchronous Lift-Off Spoofing on Satellite Navigation Receivers in the Signal Tracking Stage

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