This research focuses on the vulnerability of autonomous vehicles (AVs) to GPS spoofing attacks. GPS spoofing deceives AVs by altering GPS receivers to calculate incorrect position and tracking information, leading to misdirection. The study explores a specific type of attack, slow drift GPS spoofing, which is designed to gradually deviate the AV from the correct route, making real-time detection difficult. The researchers propose a system for constructing covert spoofing attacks and investigate the correlation between original and spoofed pseudo ranges to develop effective defenses. The findings reveal a strong correlation, suggesting potential for effective evaluation and mitigation of spoofing signals.
Publication date: 4 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.01394
