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.
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References
Humphreys, T.E., Bhatti, J.A., Shepard, D.P., Wesson, K.D.: The texas spoofing test batte. In: Proceedings of the ION GNSS Meeting (2012)
Wesson, K.D., Shepard, D.P., Bhatti, J.A., Humphreys, T.E.: An evaluation of the vestigial signal defense for civil GPS anti-spoofing. In: Proceedings of the ION GNSS Meeting (2011)
Demicheli L. Cetin, E., Thompson, R.J., Dempster, A.G.: Assessment of Signal Quality Monitoring (SQM) metrics performances. In: Dissertation, UNSW
Phelts, R.E.: Multicorrelator techniques for robust mitigation of threats to GPS signal quality. In: Doctoral dissertation, Stanford University (2001)
Manfredini, E.G., Dovis, F., Motella, B.: Validation of a signal quality monitoring technique over a set of spoofed scenarios. In: 2014 7th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), pp. 1–7 (2014)
Jahromi, A.J., Broumandan, A., Nielsen, J., Lachapelle, G.: GPS spoofer countermeasure effectiveness based on signal strength, noise power, and C/N0 measurements. Int. J. Satell. Commun. Network. 30, 181–191 (2012)
Wesson, K.D., Gross, J.N., Humphreys, T.E., Evans, B.L.: GNSS signal authentication via power and distortion monitoring. In: Draft of Article in IEEE Transactions on Aerospace and Electronic Systems, vol. X, No. X, Month 201X
Sun, Chao, et al.: Moving variance-based signal quality monitoring method for spoofing detection. GPS Solutions 22(3), 1–13 (2018)
Cetin, E., Thompson, R.J., Dempster, A.G.: Analysis of receiver observables to spoofing attacks using software receivers. In: Seminar, UNSW
Broumandan, A., Jafarnia-Jahromi, A., Dehghanian, V., Nielsen, J., Lachapelle, G.: GNSS spoofing detection in handheld receivers based on signal spatial correlation. In: 2012 IEEE/ION Position Location and Navigation Symposium (PLANS), pp. 479–487 (2012)
Ali, K., Manfredini, E. G., Dovis, F.: Vestigial signal defense through signal quality monitoring techniques based on joint use of two metrics. In: 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014, pp. 1240–1247 (2014)
Jovanovic, A., Botteron, C., Fariné, P.A.: Multi-test detection and protection algorithm against spoofing attacks on GNSS receivers. In: 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014, pp. 1258–1271 (2014)
Tawk, Y., et al.: A new movement recognition technique for flight mode detection. Int. J. Veh. Technol. (2013)
Irsigler, M., Hein, G.: Development of a real time multipath monitor based on multi-correlator observations. In: Proceedings of the ION-GNSS (2005)
Brocard, P., Thevenon, P., Julien, O., Salos, D., Mabilleau, M.: Measurement quality assessment in urban environments using correlation function distortion metrics. In: ENAC, Egis France
Acknowledgement
We would like to thank all those who have helped the work. First of all, we extend our sincere gratitude to the committee of Chinacom 2019 - 14th EAI International Conference on Communications and Networking in China for providing the opportunity and support. High tribute shall be paid to Joon Wayn Cheong Andrew G. Dempster and Laure Demicheli from The University of New South Wales whose profound knowledge greatly promoted this work. Finally, we are also indebted to William’s team for correct language expression.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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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: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_40
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DOI: https://doi.org/10.1007/978-3-030-41114-5_40
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