Statistical Method for Spoofing Detection at Mobile GNSS Receivers

2019 ◽  
Author(s):  
Ziya Gulgun ◽  
Erik G. Larsson ◽  
Panos Papadimitratos
Keyword(s):  
Statistical Method ◽  
Spoofing Detection ◽  
Gnss Receivers

scholarly journals A Multi-Antenna Scheme for Early Detection and Mitigation of Intermediate GNSS Spoofing

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2411 ◽  
Author(s):  
Jaroslaw Magiera
Keyword(s):  
Early Detection ◽  
Antenna Array ◽  
Early Stage ◽  
Detection Algorithm ◽  
Adaptive Beamforming ◽  
Spoofing Detection ◽  
Gnss Receivers ◽  
Multipath Detection ◽  
Highly Correlated ◽  
Processing Techniques

This article presents a method for detecting and mitigating intermediate GNSS spoofing. In this type of attack, at its early stage, a spoofer transmits counterfeit signals which have slight time offsets compared to true signals arriving from satellites. The anti-spoofing method proposed in this article fuses antenna array processing techniques with a multipath detection algorithm. The latter is necessary to separate highly correlated true and counterfeit GNSS signals. Spoofing detection is based on comparison of steering vectors related to received spatial components. Whereas mitigation is achieved by means of adaptive beamforming which excises interferences arriving from common direction and preserves undistorted signals from GNSS satellites. Performance of proposed method is evaluated through simulations, results of which prove the usefulness of this method for protecting GNSS receivers from intermediate spoofing interference.

Recovering authentic global position system L1 signals under spoofing using dual receiver direct positioning

2021 ◽  
pp. 1-19
Author(s):  
Chao Sun ◽  
Joon Wayn Cheong ◽  
Andrew G. Dempster ◽  
Hongbo Zhao ◽  
Wenquan Feng
Keyword(s):  
Thermal Noise ◽  
Single Channel ◽  
Satellite System ◽  
Statistical Characteristics ◽  
Reference Station ◽  
Spoofing Detection ◽  
Gnss Receivers ◽  
Position Solution ◽  
Global Navigation Satellite ◽  
Mathematical Derivation

Abstract Spoofing is a kind of deliberate interference that aims to manipulate global navigation satellite system (GNSS) receivers into counterfeit position solutions. Conventional anti-spoofing methods are implemented prior to the calculation of the position solution, depending on the specific spoofing attack mechanisms. The paper presents a spoofing detection and mitigation method implemented in the position domain. The proposed method projects the correlograms of the visible satellites to a position-clock bias domain to construct the position domain projected correlogram. P(Y) code signatures retrieved from a reference station receiver are used to identify the counterfeit position solution and remove it from the victim receiver. Compared with the conventional single-channel spoofing detection technique, the proposed anti-spoofing method is more robust against thermal noise by combining the energy from multiple satellites. Detailed mathematical derivation of the statistical characteristics of this method is presented. Its effectiveness is validated using a realistic dataset generated by a Spirent GNSS simulator and NordNav wideband front-end. Results show that the proposed algorithm is capable of not only detecting a spoofing attack but also removing the spoofing effect from the victim receiver.

scholarly journals GNSS Spoofing Detection Based on Signal Power Measurements: Statistical Analysis

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
V. Dehghanian ◽  
J. Nielsen ◽  
G. Lachapelle
Keyword(s):  
Statistical Analysis ◽  
User Interaction ◽  
Detection Technique ◽  
Small Range ◽  
Signal Power ◽  
Detection And Identification ◽  
Spoofing Detection ◽  
Gnss Receivers ◽  
Power Measurements ◽  
Detection Processing

A threat to GNSS receivers is posed by a spoofing transmitter that emulates authentic signals but with randomized code phase and Doppler values over a small range. Such spoofing signals can result in large navigational solution errors that are passed onto the unsuspecting user with potentially dire consequences. An effective spoofing detection technique is developed in this paper, based on signal power measurements and that can be readily applied to present consumer grade GNSS receivers with minimal firmware changes. An extensive statistical analysis is carried out based on formulating a multihypothesis detection problem. Expressions are developed to devise a set of thresholds required for signal detection and identification. The detection processing methods developed are further manipulated to exploit incidental antenna motion arising from user interaction with a GNSS handheld receiver to further enhance the detection performance of the proposed algorithm. The statistical analysis supports the effectiveness of the proposed spoofing detection technique under various multipath conditions.

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