Anti-spoofing performance analysis of typical GNSS-based railway train positioning schemes

Abstract

Global Navigation Satellite Systems (GNSSs) are vulnerable to both unintentional interference and intentional attacks, making it difficult to meet the stringent safety requirements of railway train control systems. The growing threat to information security posed by spoofing attacks has received limited attention. This study investigates the impact of GNSS spoofing attacks on train positioning, emphasizing their detrimental effects on the accuracy and availability of train location report functions for train operation control. To explore the anti-spoofing performance of typical GNSS-based train positioning schemes, specific approaches, and system architectures are designed under two GNSS-alone and two GNSS-integrated train positioning schemes. Field data are utilized to establish spoofing attack scenarios for GNSS-based train positioning, with which the anti-spoofing capabilities of different train positioning schemes are evaluated. Experimental results indicate that under specific conditions, the GNSS-integrated positioning schemes demonstrate superior GNSS spoofing suppression capabilities. Results of the tests present valuable guidance for designers and manufacturers in developing more advanced and resilient train positioning solutions and equipment for the next generation of train control systems, thereby promoting the applications of GNSS technology in railway systems.

Keywords

Railway train control / Global navigation satellite system / Train positioning / Interference attack / Anti-spoofing

CRediT authorship contribution statement

Jian Wang: Supervision. Debiao Lu: Supervision. Wei Jiang: Supervision. Siqi Wang: Software, Methodology, Conceptualization. Liu Jiang: Supervision, Formal analysis. Baigen Cai: Supervision.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by the National Key Research and Development Program of China (2023YFB3907300), the National Natural Science Foundation of China (U2268206, T2222015), and the Beijing Natural Science Foundation (4232031).

References

[1] J. Zheng, P. Li, X. Ma, Research on methodology of intelligent high-speed railway architecture, 2021 IEEE International Conference on Power Electronics, Computer Applications, Shenyang, 2021, pp. 125–131.

[2] P. Gurník. Next generation train control (NGTC): More effective railways through the convergence of main-line and urban train control systems. Transp. Res. Proc., 14 (2016), pp. 1855-1864.

[3] Shif2Rail Initiative. Accessed: Jun.13, 2020. [Online]. Available: 〈https://shift2rail.org/〉.

[4] Europe's Rail Joint Undertaking. Accessed: Nov.19,2021. [Online]. Available: 〈https://rail-research.europa.eu/〉.

[5] E. Wang, D. Yang, C. Wang, et al., Optimized fault detection algorithm aided by BDS baseband signal for train positioning. Chin. J. Electron., 29 (2020), pp. 34-40.

[6] N. Zhu, J. Marais, D. Bétaille, et al., GNSS position integrity in urban environments: A review of literature. IEEE Trans. Intell. Transp. Syst., 19(9)(2018), pp. 2762-2778.

[7] S. Spinsante, C. Stallo, Issues on uncertainty to train positioning in hybridized-GNSS approaches, 2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace), Turin, 2019, pp. 387–392.

[8] R. Ehrler, A. Wenz, S. Baumann, et al., Jamming and spoofing impact on GNSS signals for railway applications, 36th International Technical Meeting of the Satellite Division of, The Institute of Navigation, Denver (2023), pp. 4153-4167.

[9] V. Tiwari, A. Agrawal, M. Sharma, et al., Mitigation of jamming and spoofing attack on GNSS signals using subspace projection, 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies, Patna, 2023, pp. 1–6.

[10] Y. Chen, F. Rothmaier, D. Akos, et al., Towards a practical single element null steering antenna, Proceedings of the 2017 International Technical Meeting of The Institute of Navigation. (2017) 879–889.

[11] G. zhang, X. Zhang, J. Yin. An interference suppression scheme based on deep residual neural networks for GNSS receivers. J. Data Acquis. Process., 38 (2023), pp. 293-303.

[12] X. Shang, F. Sun, L. Zhang, et al., Detection and mitigation of GNSS spoofing via the pseudorange difference between epochs in a multicorrelator receiver. GPS Solut., 26 (2022), p. 37.

[13] Y. He, Y. Zhuang, X. Zhuang, et al., A GNSS spoofing detection method based on sparse decomposition technique, 2022 IEEE International Conference on Unmanned Systems, Guangzhou, 2022, pp. 537–542.

[14] S. Han, L. Chen, W. Meng, et al., Improve the security of GNSS receivers through spoofing mitigation. IEEE Access, 5 (2017), pp. 21057-21069.

[15] T. Jin, P. Zhang, H. Yuan, et al., Two-step unbiased estimation on small-delay multipath of GNSS signals based on s-curve bias. IEEE Trans. Instrum. Meas., 72 (2023), pp. 1-21.

[16] E. Schmidt, J. Lee, N. Gatsis, et al., Rejection of smooth GPS time synchronization attacks via sparse techniques. IEEE Sens. J., 21(1)(2021), pp. 776-789.

[17] Y. Hao, C. Shi, A. Xu, et al., Revealing methods of GNSS spoofing mitigation through analyzing the spoofing impacts on adaptively robust estimation-based RTK/INS tightly coupled integration. IEEE Sens. J., 23(20)(2023), pp. 25165-25178.

[18] A.V. Kanhere, G. Gao, Fault-robust GPS spoofing mitigation with expectation-maximization, 36th International Technical Meeting of the Satellite Division of The Institute of Navigation, Denver, 2023, pp. 3815–3828.

[19] T. Mina, A. Kanhere, A. Shetty, et al., GPS spoofing-resilient filtering with chimera and self-contained odometry, 35th International Technical Meeting of the Satellite Division of, The Institute of Navigation, Denver (2022), pp. 3768-3782.

[20] L. Bai, C. Sun, A.G. Dempster, et al., GNSS spoofing detection and mitigation with a single 5G base station aiding. IEEE Trans. Aerosp. Electron. Syst., 60(4)(2024), pp. 4601-4620.

[21] N. Gu, F. Xing, Z. You. GNSS spoofing detection based on coupled visual/inertial/GNSS navigation system. Sensors, 21(20)(2021), pp. 6769.

[22] S. Cosimo, S. Pietro, C. Andrea, et al., Intelligent antennas for mitigating GNSS jamming & spoofing hazards on the ERTMS train control, ION 2019 Pacific PNT Meeting, Honolulu, 2019, pp. 478–492.

[23] A.M. Herrera, H.F. Suhandri, E. Realini, et al., GoGPs: Open-source MATLAB software, GPS Solut, 20 (3) (2016), pp. 595-603.

[24] C. Zhang, Z. Lyu, Y. Ke, et al., Comparison of GNSS/INS loosely coupled and tightly coupled systems under spoofing interference. J. Navig. Position., 10(5)(2022), pp. 18-24.