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A Method of Detections’ Fusion for GNSS Anti-Spoofing
The spoofing attack is one of the security threats of systems depending on the Global Navigation Satellite System (GNSS). There have been many GNSS spoofing detection methods, and each of them focuses on a characteristic of the GNSS signal or a measurement that the receiver has obtained. The method...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191166/ https://www.ncbi.nlm.nih.gov/pubmed/27999375 http://dx.doi.org/10.3390/s16122187 |
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author | Tao, Huiqi Li, Hong Lu, Mingquan |
author_facet | Tao, Huiqi Li, Hong Lu, Mingquan |
author_sort | Tao, Huiqi |
collection | PubMed |
description | The spoofing attack is one of the security threats of systems depending on the Global Navigation Satellite System (GNSS). There have been many GNSS spoofing detection methods, and each of them focuses on a characteristic of the GNSS signal or a measurement that the receiver has obtained. The method based on a single detector is insufficient against spoofing attacks in some scenarios. How to fuse multiple detections together is a problem that concerns the performance of GNSS anti-spoofing. Scholars have put forward a model to fuse different detection results based on the Dempster-Shafer theory (DST) of evidence combination. However, there are some problems in the application. The main challenge is the valuation of the belief function, which is a key issue in DST. This paper proposes a practical method of detections’ fusion based on an approach to assign the belief function for spoofing detections. The frame of discernment is simplified, and the hard decision of hypothesis testing is replaced by the soft decision; then, the belief functions for some detections can be evaluated. The method is discussed in detail, and a performance evaluation is provided, as well. Detections’ fusion reduces false alarms of detection and makes the result more reliable. Experimental results based on public test datasets demonstrate the performance of the proposed method. |
format | Online Article Text |
id | pubmed-5191166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51911662017-01-03 A Method of Detections’ Fusion for GNSS Anti-Spoofing Tao, Huiqi Li, Hong Lu, Mingquan Sensors (Basel) Article The spoofing attack is one of the security threats of systems depending on the Global Navigation Satellite System (GNSS). There have been many GNSS spoofing detection methods, and each of them focuses on a characteristic of the GNSS signal or a measurement that the receiver has obtained. The method based on a single detector is insufficient against spoofing attacks in some scenarios. How to fuse multiple detections together is a problem that concerns the performance of GNSS anti-spoofing. Scholars have put forward a model to fuse different detection results based on the Dempster-Shafer theory (DST) of evidence combination. However, there are some problems in the application. The main challenge is the valuation of the belief function, which is a key issue in DST. This paper proposes a practical method of detections’ fusion based on an approach to assign the belief function for spoofing detections. The frame of discernment is simplified, and the hard decision of hypothesis testing is replaced by the soft decision; then, the belief functions for some detections can be evaluated. The method is discussed in detail, and a performance evaluation is provided, as well. Detections’ fusion reduces false alarms of detection and makes the result more reliable. Experimental results based on public test datasets demonstrate the performance of the proposed method. MDPI 2016-12-19 /pmc/articles/PMC5191166/ /pubmed/27999375 http://dx.doi.org/10.3390/s16122187 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tao, Huiqi Li, Hong Lu, Mingquan A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title | A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title_full | A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title_fullStr | A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title_full_unstemmed | A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title_short | A Method of Detections’ Fusion for GNSS Anti-Spoofing |
title_sort | method of detections’ fusion for gnss anti-spoofing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191166/ https://www.ncbi.nlm.nih.gov/pubmed/27999375 http://dx.doi.org/10.3390/s16122187 |
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