mmEcho: A mmWave-based Acoustic Eavesdropping Method
Pengfei Hu, Wenhao Li, Riccardo Spolaor, Xiuzhen Cheng
Abstract
Acoustic eavesdropping targeting private or confidential spaces is one of the most severe privacy threats. Soundproof rooms may reduce such risks, but they cannot prevent sophisticated eavesdropping, which has been an emerging research trend in recent years. Researchers have investigated such acoustic eavesdropping attacks via sensor-enabled side-channels. However, such attacks either make unrealistic assumptions or have considerable constraints. This paper introduces mmEcho, an acoustic eavesdropping system that uses a millimeter-wave radio signal to accurately measure the micrometer-level vibration of an object induced by sound waves. Compared with previous works, our eavesdropping method is highly accurate and requires no prior knowledge about the victim. We evaluate the performance of mmEcho under extensive real-world settings and scenarios. Our results show that mmEcho can accurately reconstruct audio from moving sources at various distances, orientations, reverberating objects, sound insulators, spoken languages, and sound levels.
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Cited by top-tier papers16
- Radio2Text: Streaming Speech Recognition Using mmWave Radio SignalsRunning Zhao, Jiangtao Yu, Hang Zhao, Edith C. H. NgaiUbiComp 2023 · 22 citations
- VibSpeech: Exploring Practical Wideband Eavesdropping via Bandlimited Signal of Vibration-based Side ChannelChao Wang, Feng Lin, Hao Yan, Tong Wu et al.USENIX Security 2024 · 16 citations
- mmEar: Push the Limit of COTS mmWave Eavesdropping on HeadphonesXiangyu Xu, Yu Chen, Zhen Ling, Li Lu et al.INFOCOM 2024 · 9 citations
- EchoLight: Sound Eavesdropping based on Ambient Light ReflectionGuoming Zhang, Zhijie Xiang, Heqiang Fu, Yanni Yang et al.INFOCOM 2024 · 9 citations
- Talk2Radar: Talking to mmWave Radars via Smartphone SpeakerKaiyan Cui, Leming Shen, Yuanqing Zheng, Fu Xiao et al.INFOCOM 2024 · 8 citations
Builds on9
- mmVib: micrometer-level vibration measurement with mmwave radarChengkun Jiang, Junchen Guo, Yuan He, Meng Jin et al.MobiCom 2020 · 154 citations
- Speechless: Analyzing the Threat to Speech Privacy from Smartphone Motion SensorsS. Abhishek Anand, Nitesh SaxenaS&P 2018 · 110 citations
- AccEar: Accelerometer Acoustic Eavesdropping with Unconstrained VocabularyPengfei Hu, Hui Zhuang, Panneer Selvam Santhalingam, Riccardo Spolaor et al.S&P 2022 · 65 citations
- Hard Drive of Hearing: Disks that Eavesdrop with a Synthesized MicrophoneAndrew Kwong, Wenyuan Xu, Kevin FuS&P 2019 · 63 citations
- MILLIEAR: Millimeter-wave Acoustic Eavesdropping with Unconstrained VocabularyPengfei Hu, Yifan Ma, Panneer Selvam Santhalingam, Parth H. Pathak et al.INFOCOM 2022 · 60 citations
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