RAIM and SBAS based Detection of GNSS Spoofing by Timing and Content Consistency Rules

被引:0
|
作者
Fu, Guoyu [1 ]
Holmes, Tyler [1 ]
Riedel, Colton [1 ]
Liu, Jyh-Charn [1 ]
机构
[1] Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX 77843 USA
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we analyze the GNSS spoofing problem from the perspectives of timing and content of GNSS messages. Among various types of GNSS attacks, we focus on the most powerful form of stealthy GNSS spoofing, based on the sequence of Receive, Modification, and Transmission ( RMT) of GNSS messages. When precisely implemented, a RMT based spoofing attack can alter both the timing and content of GNSS messages at will, which can be very difficult for an unprepared regular receiver to detect and reject the bogus messages carried on the L1 channel. To address this open problem, in this work we explore high level software techniques to detect GNSS spoofing based on consistency checking among the timing and content of GNSS messages. We show that one can tailor the RAIM ( Receiver Autonomous Integrity Monitoring) model to detect timing inconsistency provided that at least one authentic GNSS channel is intact. Next, we analyze the SBAS message broadcast system and estimate the challenge in SBAS spoofing. It is clear that it is significantly harder to spoof the timing alone of SBAS channels due to the dynamic content broadcast. Simulation and experiments on the TEXBAT spoofing dataset were conducted to validate the proposed spoofing detection method.
引用
收藏
页码:2854 / 2868
页数:15
相关论文
共 50 条
  • [41] GNSS spoofing detection based on new signal quality assessment model
    Hu, Yanfeng
    Bian, Shaofeng
    Cao, Kejin
    Ji, Bing
    GPS SOLUTIONS, 2018, 22 (01)
  • [42] GNSS spoofing detection algorithm based on clock frequency drift monitoring
    Hu, Yan-Feng
    Cao, Ke-Jin
    Bian, Shao-Feng
    Li, Bao
    Ye, Xin
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2015, 37 (07): : 1629 - 1632
  • [43] GNSS spoofing detection based on new signal quality assessment model
    Yanfeng Hu
    Shaofeng Bian
    Kejin Cao
    Bing Ji
    GPS Solutions, 2018, 22
  • [44] Fast GNSS spoofing detection based on LSTM-detect model
    Mao, Wenxuan
    Ren, Jieyige
    Ni, Shuyan
    GPS SOLUTIONS, 2025, 29 (01)
  • [45] GNSS/INS spoofing detection method based on combined epoch innovation robustness
    Wu W.
    Lyu Z.
    Zhou W.
    Ke Y.
    Xie Y.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2024, 32 (04): : 354 - 362
  • [46] An efficient GNSS spoofing detection scheme with correlator-based complex metric
    Liu, Jian
    Kong, Qinglei
    Yin, Feng
    Chen, Yu
    Chen, Bo
    DIGITAL SIGNAL PROCESSING, 2025, 158
  • [47] DOA Classification and CCPM-PC based GNSS Spoofing Detection Technique
    Xu, Guanghui
    Shen, Feng
    Amin, Moeness
    Wang, Chun
    2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2018, : 389 - 396
  • [48] A Subarray Processing Approach to GNSS Spoofing Detection based on Double Difference Measurements
    Liu, Jinyuan
    Chen, Feiqiang
    Xie, Yuchen
    Sun, Guangfu
    Proceedings - 2023 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies, ICFEICT 2023, 2023, : 578 - 583
  • [49] A Coprime Array-Based Technique for Spoofing Detection and DOA Estimation in GNSS
    Zhao, Yuqing
    Shen, Feng
    Xu, Dingjie
    Meng, Zhen
    IEEE SENSORS JOURNAL, 2022, 22 (23) : 22828 - 22835
  • [50] A Novel Array Antenna-Based GNSS Spoofing Detection and Mitigation Technique
    Lee, Young-Seok
    Yeom, Jeong Seon
    Jung, Bang Chul
    2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC, 2023,