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

^*此作品的通讯作者

电子信息工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings
编辑	Honghao Gao, Zhiyong Feng, Jun Yu, Jun Wu
出版商	Springer
页	537-548
页数	12
ISBN（印刷版）	9783030411138
DOI	https://doi.org/10.1007/978-3-030-41114-5_40
出版状态	已出版 - 2020
活动	14th EAI International Conference on Communications and Networking in China, ChinaCom 2019 - Shanghai, 中国期限: 29 11月 2019 → 1 12月 2019

出版系列

姓名	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
卷	312 LNICST
ISSN（印刷版）	1867-8211

会议

会议	14th EAI International Conference on Communications and Networking in China, ChinaCom 2019
国家/地区	中国
市	Shanghai
时期	29/11/19 → 1/12/19

访问文件

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

其它文件与链接

链接到 Scopus 的出版物

引用此

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. 在 H. Gao, Z. Feng, J. Yu, & J. Wu (编辑), Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings (页码 537-548). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 312 LNICST). Springer. https://doi.org/10.1007/978-3-030-41114-5_40

Li, Lixuan ; Sun, Chao ; Zhao, Hongbo 等. / GNSS Spoofing Detection Using Moving Variance of Signal Quality Monitoring Metrics and Signal Power. Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. 编辑 / Honghao Gao ; Zhiyong Feng ; Jun Yu ; Jun Wu. Springer, 2020. 页码 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. 在 H Gao, Z Feng, J Yu & J Wu (编辑), Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 卷 312 LNICST, Springer, 页码 537-548, 14th EAI International Conference on Communications and Networking in China, ChinaCom 2019, Shanghai, 中国, 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 等.
Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. 编辑 / Honghao Gao; Zhiyong Feng; Jun Yu; Jun Wu. Springer, 2020. 页码 537-548 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; 卷 312 LNICST).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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. 在 Gao H, Feng Z, Yu J, Wu J, 编辑, Communications and Networking - 14th EAI International Conference, ChinaCom 2019, Proceedings. Springer. 2020. 页码 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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