Session A2: GNSS Security: Interference, Jamming, and Spoofing 1

Datasets for Evaluating Anti-Spoofing Algorithms in GPS/INS Integrated Navigation
Yimin Guo,Yanhong Kou,Yiwei Wang, Yun Zhao, Beihang University
Location: Beacon A

GNSS (Global Navigation Satellite System) spoofing signal is a type of interference that counterfeits real satellite signals, which can mislead target GNSS receivers or even GNSS/INS (Inertial Navigation System) integrated navigation systems to output incorrect positioning, velocity, and timing information, thereby posing a threat to the safety of GNSS applications. Over the past decade, significant advancements have been made in both GNSS spoofing and anti-spoofing techniques . The TEXBAT spoofing test battery, released by the University of Texas, has supported the research and experimental development of various anti-spoofing algorithms. However, the evolution of technology requires more complex and realistic GNSS spoofing datasets to facilitate further research on GNSS authentication.
For this consideration, we offer a new set of spoofing test data, consisting of seven datasets, aiming at assessing the anti-spoofing capabilities of GPS L1 C/A receivers and GPS/INS integrated navigation systems in scenarios featuring realistic dynamics and multi-path environments. The datasets exhibit two characteristics: Firstly, recognizing that spoofing interferences, particularly those targeting position deception, primarily affect dynamic targets, our datasets focus on typical dynamic scenarios. They simulate GPS spoofing scenarios of high-speed vehicles such as airplanes, low-speed vehicles such as cars, and variable-speed vehicles such as drones. In simulating spoofing attacks within these scenarios, we incorporate the crucial factor of multipath interference to approximate the real-world electromagnetic environment. Secondly, given that IMUs (Inertial Measurement Units) are usually embedded in vehicles, there is a need for research and verification on the response process and performance of GPS/INS integrated navigation algorithms to GPS spoofing. Therefore, we simulate the raw observation data of IMUs under diverse dynamic conditions. As a result, the provided datasets facilitate the analysis of the process and results of GPS receivers and their integrated systems with various levels of IMU sensor responding to spoofing attacks under specific dynamic conditions. This enables the evaluation of the anti-spoofing performance of various GPS/INS integrated navigation algorithms. Utilizing the above test datasets, we evaluate the performance of existing loosely and tightly coupled GPS/INS integration methods for anti-spoofing processing. In addition, we look ahead to the future development of anti-spoofing technology and the corresponding demands for spoofing interference datasets.
The GPS L1 C/A spoofing signal datasets established in this paper incorporates diverse dynamic scenarios and multipath phenomenon, and facilitate the evaluation and testing of anti-spoofing algorithms within GPS/INS integrated navigation systems.