Threat from Windshield: Vehicle Windows as Involuntary Attack Sources on Automotive Voice Assistants
Penghao Wang, Shuo Huai, Yetong Cao, Chao Liu, Jun Luo
Abstract
As automotive voice assistants (AVAs) become increasingly cen- tral to modern vehicles, their vulnerability to attacks exploiting inaudible sounds should raise security concerns. However, such concerns are often deemed low priority, because it is widely be- lieved that an attacker to AVAs should be strategically positioned inside the concerned vehicle for two main reasons: i) inaudible signals can barely penetrate vehicle hulls and ii) a line-of-sight (LoS) path is needed between the attacker (sound source) and the AVA's microphone. In this paper, we disprove this common belief by proposing ShieldSpear to launch AVA attacks outside vehicle hulls. ShieldSpear exploits a tiny piezo-element placed on the exterior of the windshield to convert it into both a speaker and microphone. While this setting naturally brings the attacking sound source into a vehicle, strategically placing this compactly integrated element may further yield i) covertness (blended into stickers), ii) LoS path to AVA's microphones, and iii) real-time attacking capability dur- ing vehicle motion. To maintain sufficient volume while evading detection, we design novel hardware and signal carriers for deliver- ing attack (voice) commands. Moreover, ShieldSpear leverages the windshield-converted microphone to acquire drivers' voiceprint so as to accurately emulate it in the faked commands. Extensive experiments involving five mainstream vehicles have demonstrated the effectiveness of ShieldSpear by a 90.9% end-to-end success rate in injecting faked voice commands into AVAs.
Ask Lune
Ask anything. The answer shows its sources.
Lune reads the papers around it, then shows you the passages behind every answer.
Related papers
- EarArray: Defending against DolphinAttack via Acoustic AttenuationGuoming Zhang, Xiaoyu Ji, Xinfeng Li, Gang Qu et al.NDSS 2021
- Light Commands: Laser-Based Audio Injection Attacks on Voice-Controllable SystemsTakeshi Sugawara, Benjamin Cyr, Sara Rampazzi, Daniel Genkin et al.USENIX Security 2020
- LaserAdv: Laser Adversarial Attacks on Speech Recognition SystemsGuoming Zhang, Xiaohui Ma, Huiting Zhang, Zhijie Xiang et al.USENIX Security 2024 · 6 citations
- CapSpeaker: Injecting Voices to Microphones via CapacitorsXiaoyu Ji, Juchuan Zhang, Shui Jiang, Jishen Li et al.CCS 2021 · 21 citations
- CommanderSong: A Systematic Approach for Practical Adversarial Voice RecognitionXuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long et al.USENIX Security 2018 · 389 citations
