AttackDeceiver: Anti-Spoofing Automotive Radar System Using a Phase-Shifted Interleaving Waveform
Summary
Millimeter-wave radars (mmWave, sensors that use radio waves to detect objects) used in autonomous vehicles can be tricked by attackers who send false signals to distort what the radar perceives, potentially causing dangerous driving behavior. AttackDeceiver is a new anti-spoofing system (a defense against false signal attacks) that uses a phase-shifted interleaving waveform (a specially designed radio signal pattern) to detect fake targets by comparing readings from two independent channels, and it also tricks adaptive attackers into creating unrealistic fake objects that are easier to identify.
Solution / Mitigation
The source describes the AttackDeceiver system itself as the mitigation. It works by comparing range and velocity estimates from two independent virtual channels to detect and mitigate spoofing attacks, and by inducing attackers to generate false targets with unrealistic velocity fluctuations that can be identified. The prototype achieved false target recall exceeding 97.9% and signal-to-interference-plus-noise ratio enhancement exceeding 13.46 dB.
Classification
Original source: http://ieeexplore.ieee.org/document/11193651
First tracked: February 12, 2026 at 02:22 PM
Classified by LLM (prompt v3) · confidence: 95%