Title: RAIM and SBAS based Detection of GNSS Spoofing by Timing and Content Consistency Rules
Author(s): Guoyu Fu, Tyler Holmes, Colton Riedel and Jyh-Charn Liu
Published in: Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017)
September 25 - 29, 2017
Oregon Convention Center
Portland, Oregon
Pages: 2854 - 2868
Cite this article: Fu, Guoyu, Holmes, Tyler, Riedel, Colton, Liu, Jyh-Charn, "RAIM and SBAS based Detection of GNSS Spoofing by Timing and Content Consistency Rules," Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, pp. 2854-2868.
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In
Abstract: 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.