mmSpy: Spying Phone Calls using mmWave Radars
mmSpy: Spying Phone Calls using mmWave Radars
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DOI：
10.1109/sp46214.2022.9833568
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发表时间：
2022-05
期刊：
影响因子：
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通讯作者：
S. Basak;Mahanth K. Gowda
中科院分区：
文献类型：
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作者：
S. Basak;Mahanth K. Gowda
本文介绍了一个远程窃听电话的系统MMSpy，它展示了远程窃听电话的可行性。为此，MmSpy使用运行在毫米波频谱(77 GHz和60 GHz)的现成雷达设备来感测耳机振动。鉴于毫米波雷达在许多自动驾驶、遥感和其他物联网应用中越来越受欢迎，我们认为这是一个关键的隐私问题。与之前显示了用更大幅度检测扬声器振动的可行性的工作不同，MmSpy利用较小波长的毫米波雷达信号来检测电话通话中使用的听筒设备中的细微振动。为了设计这种攻击，MmSpy解决了与大规模雷达数据集不可用、各种噪声源的系统校正以及收集训练数据时的域适应问题有关的一些挑战。广泛的基于测量的验证在1-6英尺的范围内实现了83%-44%的端到端数字和关键字分类准确率，从而损害了信用卡信息交换等应用中的隐私。此外，MmSpy显示了从雷达数据重建音频信号的可行性，使用这些信号可能会泄露更敏感的信息。
This paper presents a system mmSpy that shows the feasibility of eavesdropping phone calls remotely. Towards this end, mmSpy performs sensing of earpiece vibrations using an off-the-shelf radar device that operates in the mmWave spectrum (77GHz, and 60GHz). Given that mmWave radars are becoming popular in a number of autonomous driving, remote sensing, and other IoT applications, we believe this is a critical privacy concern. In contrast to prior works that show the feasibility of detecting loudspeaker vibrations with larger amplitudes, mmSpy exploits smaller wavelengths of mmWave radar signals to detect subtle vibrations in the earpiece devices used in phonecalls. Towards designing this attack, mmSpy solves a number of challenges related to non-availability of large scale radar datasets, systematic correction of various sources of noises, as well as domain adaptation problems in harvesting training data. Extensive measurement-based validation achieves an endto-end accuracy of 83-44% in classifying digits and keywords over a range of 1-6ft, thereby compromising the privacy in applications such as exchange of credit card information. In addition, mmSpy shows the feasibility of reconstruction of the audio signals from the radar data, using which more sensitive information can be potentially leaked.