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CUSUM-based GNSS Spoofing Detection Method for Users of GNSS Augmentation System

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Abstract

Position and time information provided by the satellite navigation system is important in many application fields. However, the satellite navigation signal is vulnerable to interference signals due to the low navigation signal strength. This interference signal for the satellite navigation signal is being advanced to the spoofing signal, which can adjust the position and time information of the satellite navigation receiver, beyond simple jamming signal. To ensure the safe use of satellite navigation signals in the future, it is necessary to prepare for attacks by such spoofing signals. It is possible to reduce the damage to users of satellite navigation by early detection of the spoofing signals. For spoofing signals, the detection method should be applied according to the attack method, and various detection methods should be applied because the impact of the attacker on the receiver may vary depending on the attack method and attack item. In this study, we propose a method to detect the spoofing signal when the signal is induced based on the satellite navigation correction data and measurement value. The proposed detection method is advantageous in that it can be applied to a receiver directly because the spoofing signal can be detected without being equipped with additional hardware in a conventional receiver. Additionally, this method can be applied to a mobile receiver as well as a fixed receiver. It is expected that the proposed technique will increase the usefulness and reliability of the satellite navigation system.

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References

  1. Joo I, Sin C, Kim J, Lee S (2010) GPS L5 acquisition schemes for fast code detection and improved Doppler accuracy. ETRI J 32:142–144. https://doi.org/10.4218/etrij.10.0209.0414

    Article  Google Scholar 

  2. Jeong S, Lee S, Lee J (2012) Algorithm analysis for GNSS spoofing detection system. In: Asia-Pacific International Symposium on Aerospace Technology

  3. Kerns AJ, Shepard DP, Bhatti JA, Humphreys TE (2014) Unmanned aircraft capture and control via GPS spoofing. J Field Robot 31:617–633. https://doi.org/10.1002/rob.21513

    Article  Google Scholar 

  4. Jafarnia-Jahromi A, Broumandan A, Nielsen J, Lachapelle G (2012) GPS vulnerability to spoofing threats and a review of antispoofing techniques. Int J Navig Obs. https://doi.org/10.1155/2012/127072(Article ID 127072)

    Article  Google Scholar 

  5. Montgomery PY, Humphreys TE, Ledvina BM (2011) Receiver-autonomous spoofing detection: experimental results of a multi-antenna receiver defense against a portable civil GPS spoofer. In: Proceedings of the Institute of Navigation International Technial Meeting 124–130

  6. Nielsen J, Broumandan A, Lachapelle G (2010) Spoofing detection and mitigation with a moving handheld receiver. GPS World 21:27–33

    Google Scholar 

  7. Humphreys TE, Ledvina BM, Psiaki ML, O'Hanlon BW, Kintner PM (2008) Assessing the spoofing threat: development of a portable GPS civilian spoofer. In: The 21st International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS ’08), 16–19

  8. Lo S, Enge P (2010) Authenticating aviation augmentation system broadcasts. In: The IEEE/ION position, location and navigation symposium (PLANS ’10) 708–717. 10.1109/PLANS.2010.5507223

  9. Lo S, Lorenzo DD, Enge P, Akos D, Bradley P (2009) Signal authentication, a secure civil GNSS for today. Inside GNSS 30–39

  10. Wen H, Huang PY, Dyer J, Archinal A, Fagan J (2005) Countermeasures for GPS signal spoofing. In: The 18th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2005) 1285–1290

  11. Phelts R (2001) Multicorrelator techniques for robust mitigation of threats to GPS signal quality. Ph.D. dissertation, Stanford University

  12. Cavaleri A, Motella B, Pini M (2010) Detection of spoofed GPS signals at code and carrier tracking level. In: Fifth ESA workshop on satellite navigation technologies and European workshop on GNSS signals and signal processing (NAVITEC ’10) 1–6. 10.1109/NAVITEC.2010.5708016

  13. Pini M, Fantino M, Cavaleri A, Ugazio S, Presti LL (2011) Signal quality monitoring applied to spoofing detection. In: 24th international technical meeting of the satellite division of the institute of navigation (ION GNSS ’11) 1888–1896

  14. White NA, Maybeck PS, DeVilbiss SL (1998) Detection of interference/jamming and spoofing in a DCPS-aided inertial system. IEEE Trans Aerosp Electron Syst 3:1208–1217

    Article  Google Scholar 

  15. Juang JC (2011) GNSS spoofing analysis by VIAS. Coord Mag 11–14

  16. Jafarnia-Jahromi A, Broumandan A, Nielsen J, Lachapelle G (2012) GPS spoofer countermeasure effectiveness based on signal power, noise power and C/N0 observables. Int J Satell Commun Netw 30:181–191. https://doi.org/10.1002/sat.1012

    Article  Google Scholar 

  17. Jafarnia-Jahromi A, Lin T, Broumandan A, Nielsen J, Lachapelle G (2012) Detection and mitigation of spoofing attack on a vector based tracking GPS receiver. In: International technical meeting of the institute of navigation, Newport Beach 790–800

  18. Yang Y, Xu J (2016) GNSS receiver autonomous integrity monitoring(RAIM) algorithm based on robust estimation. Geodesy Geodyn 7:117–123. https://doi.org/10.1016/j.geog.2016.04.004

    Article  Google Scholar 

  19. Psiaki ML, Humphreys TE (2016) GNSS spoofing and detection. Proc IEEE 104:1258–1270. https://doi.org/10.1109/JPROC.2016.2526658

    Article  Google Scholar 

  20. Hawkins DM, Olwell DH (1998) Cumulative sum charts and charting for quality improvement. Springer-Verlag, New York

    Book  Google Scholar 

  21. Lee J, Pullen S, Enge P (2006) Sigma-mean monitoring for the local area augmentation of GPS. IEEE Trans Aerosp Electron Syst 42:625–635. https://doi.org/10.1109/TAES.2006.1642577

    Article  Google Scholar 

  22. Li, H (2007) Multivariate Extensions of CUSUM Procedure. Ph.D. dissertation, Stanford University

  23. Joseph J, Pignatiello J, Runger GC (1990) Comparisons of multivariate CUSUM charts. J Qual Technol 22:173–186. https://doi.org/10.1080/00224065.1990.11979237

    Article  Google Scholar 

  24. Perepetchai, V (2000) MS thesis, McGill University

  25. Peerajit W, Areepong Y, Sukparungsee S (2018) Numerical integral equation method for ARL of CUSUM chart for long-memory process with non-seasonal and seasonal ARFIMA models. Thail Stat 16:26–37

    MATH  Google Scholar 

  26. U.S. Federal Aviation Administration (2002) Federal Aviation Administration Specification: Performance Type One Local Area Augmentation System Ground Facility, Washington, D.C., FAA-E-2937A

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Correspondence to Jiyun Lee.

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Jeong, S., Kim, M. & Lee, J. CUSUM-based GNSS Spoofing Detection Method for Users of GNSS Augmentation System. Int. J. Aeronaut. Space Sci. 21, 513–523 (2020). https://doi.org/10.1007/s42405-020-00272-9

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  • DOI: https://doi.org/10.1007/s42405-020-00272-9

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