GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power

Lixuan Li; Chao Sun; Hongbo Zhao; Hua Sun; Wenquan Feng

doi:10.1007/978-3-030-41114-5_40

GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power

Lixuan Li
, Chao Sun^*
, Hongbo Zhao
, Hua Sun
, Wenquan Feng

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Spoofing represents a significant threat to the integrity of applications relying on Global Navigation Satellite System (GNSS). A spoofer transmits counterfeit satellite signals to deceive the operation of a receiver. As multipath and spoofing signals have similar signal structures, Signal Quality Monitoring (SQM) techniques, originally designed for multipath detection, were identified to be useful for spoofing detection. Recently, a moving variance (MV) based SQM method was developed to improve the performance of raw SQM metrics. However, the main problem with implementing the MV-based SQM technique is differentiating the spoofing attack from multipath. This work presents a two-dimensional detection method using carrier power and moving variance to improve detection performance. Besides, false alarms caused by multipath are avoided by the two-dimensional threshold. A dataset called Texas Spoofing Test Battery and a multipath scenario from Osaka were employed to evaluate the performance of the proposed algorithm.

Original language	English
Title of host publication	Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings
Editors	Honghao Gao, Zhiyong Feng, Jun Yu, Jun Wu
Publisher	Springer
Pages	537-548
Number of pages	12
ISBN (Print)	9783030411138
DOIs	https://doi.org/10.1007/978-3-030-41114-5_40
State	Published - 2020
Event	14th EAI International Conference on Communications and Networking in China, ChinaCom 2019 - Shanghai, China Duration: 29 Nov 2019 → 1 Dec 2019

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	312 LNICST
ISSN (Print)	1867-8211

Conference

Conference	14th EAI International Conference on Communications and Networking in China, ChinaCom 2019
Country/Territory	China
City	Shanghai
Period	29/11/19 → 1/12/19

Keywords

Carrier power
Moving variance
Signal quality monitoring
Spoofing

Access to Document

10.1007/978-3-030-41114-5_40

Cite this

Li, L., Sun, C., Zhao, H., Sun, H., & Feng, W. (2020). GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. In H. Gao, Z. Feng, J. Yu, & J. Wu (Eds.), Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings (pp. 537-548). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 312 LNICST). Springer. https://doi.org/10.1007/978-3-030-41114-5_40

Li, Lixuan ; Sun, Chao ; Zhao, Hongbo et al. / GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. editor / Honghao Gao ; Zhiyong Feng ; Jun Yu ; Jun Wu. Springer, 2020. pp. 537-548 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{5aeb1844cadd4cc2a5147cd6c6819780,

title = "GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power",

abstract = "Spoofing represents a significant threat to the integrity of applications relying on Global Navigation Satellite System (GNSS). A spoofer transmits counterfeit satellite signals to deceive the operation of a receiver. As multipath and spoofing signals have similar signal structures, Signal Quality Monitoring (SQM) techniques, originally designed for multipath detection, were identified to be useful for spoofing detection. Recently, a moving variance (MV) based SQM method was developed to improve the performance of raw SQM metrics. However, the main problem with implementing the MV-based SQM technique is differentiating the spoofing attack from multipath. This work presents a two-dimensional detection method using carrier power and moving variance to improve detection performance. Besides, false alarms caused by multipath are avoided by the two-dimensional threshold. A dataset called Texas Spoofing Test Battery and a multipath scenario from Osaka were employed to evaluate the performance of the proposed algorithm.",

keywords = "Carrier power, Moving variance, Signal quality monitoring, Spoofing",

author = "Lixuan Li and Chao Sun and Hongbo Zhao and Hua Sun and Wenquan Feng",

note = "Publisher Copyright: {\textcopyright} 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 14th EAI International Conference on Communications and Networking in China, ChinaCom 2019 ; Conference date: 29-11-2019 Through 01-12-2019",

year = "2020",

doi = "10.1007/978-3-030-41114-5\_40",

language = "英语",

isbn = "9783030411138",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer",

pages = "537--548",

editor = "Honghao Gao and Zhiyong Feng and Jun Yu and Jun Wu",

booktitle = "Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings",

address = "德国",

}

Li, L, Sun, C , Zhao, H, Sun, H & Feng, W 2020, GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. in H Gao, Z Feng, J Yu & J Wu (eds), Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 312 LNICST, Springer, pp. 537-548, 14th EAI International Conference on Communications and Networking in China, ChinaCom 2019, Shanghai, China, 29/11/19. https://doi.org/10.1007/978-3-030-41114-5_40

GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. / Li, Lixuan; Sun, Chao ; Zhao, Hongbo et al.
Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. ed. / Honghao Gao; Zhiyong Feng; Jun Yu; Jun Wu. Springer, 2020. p. 537-548 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 312 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power

AU - Li, Lixuan

AU - Sun, Chao

AU - Zhao, Hongbo

AU - Sun, Hua

AU - Feng, Wenquan

PY - 2020

Y1 - 2020

N2 - Spoofing represents a significant threat to the integrity of applications relying on Global Navigation Satellite System (GNSS). A spoofer transmits counterfeit satellite signals to deceive the operation of a receiver. As multipath and spoofing signals have similar signal structures, Signal Quality Monitoring (SQM) techniques, originally designed for multipath detection, were identified to be useful for spoofing detection. Recently, a moving variance (MV) based SQM method was developed to improve the performance of raw SQM metrics. However, the main problem with implementing the MV-based SQM technique is differentiating the spoofing attack from multipath. This work presents a two-dimensional detection method using carrier power and moving variance to improve detection performance. Besides, false alarms caused by multipath are avoided by the two-dimensional threshold. A dataset called Texas Spoofing Test Battery and a multipath scenario from Osaka were employed to evaluate the performance of the proposed algorithm.

AB - Spoofing represents a significant threat to the integrity of applications relying on Global Navigation Satellite System (GNSS). A spoofer transmits counterfeit satellite signals to deceive the operation of a receiver. As multipath and spoofing signals have similar signal structures, Signal Quality Monitoring (SQM) techniques, originally designed for multipath detection, were identified to be useful for spoofing detection. Recently, a moving variance (MV) based SQM method was developed to improve the performance of raw SQM metrics. However, the main problem with implementing the MV-based SQM technique is differentiating the spoofing attack from multipath. This work presents a two-dimensional detection method using carrier power and moving variance to improve detection performance. Besides, false alarms caused by multipath are avoided by the two-dimensional threshold. A dataset called Texas Spoofing Test Battery and a multipath scenario from Osaka were employed to evaluate the performance of the proposed algorithm.

KW - Carrier power

KW - Moving variance

KW - Signal quality monitoring

KW - Spoofing

UR - https://www.scopus.com/pages/publications/85082108804

U2 - 10.1007/978-3-030-41114-5_40

DO - 10.1007/978-3-030-41114-5_40

M3 - 会议稿件

AN - SCOPUS:85082108804

SN - 9783030411138

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 537

EP - 548

BT - Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings

A2 - Gao, Honghao

A2 - Feng, Zhiyong

A2 - Yu, Jun

A2 - Wu, Jun

PB - Springer

T2 - 14th EAI International Conference on Communications and Networking in China, ChinaCom 2019

Y2 - 29 November 2019 through 1 December 2019

ER -

Li L, Sun C , Zhao H, Sun H, Feng W. GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. In Gao H, Feng Z, Yu J, Wu J, editors, Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. Springer. 2020. p. 537-548. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-41114-5_40

GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power

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Keywords

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