UltraJam:基于麦克风电路非线性效应的超声自适应干扰器

IF 3.2 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS High-Confidence Computing Pub Date : 2023-09-01 DOI:10.1016/j.hcc.2023.100129
Zhicheng Han , Jun Ma , Chao Xu , Guoming Zhang
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引用次数: 0

摘要

广泛使用的配备麦克风的设备(如智能手机、录音机)对保密对话构成了严重威胁。在本文中,我们设计了一种听不见的反窃听方法:UltraJam,以降低不需要和秘密录音的风险。UltraJam使用超声波信号来屏蔽对话。利用麦克风电路的非线性效应,可以将自适应超声信号记录并解调为低频信号,从而有效地压制声音。根据衰减系数和频率响应的特点,我们构造了多个不同带宽的干扰信号,并设计了宽带信号注入阵列,同时自适应地调整每个带宽信号的功率,以覆盖更多的频带,增加使用场景。为了验证麦克风干扰系统的安全性,我们还利用几种音频恢复方法从干扰噪声中恢复原始信号。实验结果表明,在干扰录音中,只有不到1%的单词被识别,即使采用音频恢复方法,在恢复的干扰录音中仍有99%的单词无法被识别。
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UltraJam: Ultrasonic adaptive jammer based on nonlinearity effect of microphone circuits

The widely used devices (e.g. smartphones, recorders) equipped with microphones have posed a severe threat to confidential conversations. In this paper, we design an inaudible anti-eavesdropping method: UltraJam, to reduce the risk of unwanted and secret recordings. UltraJam uses the ultrasonic signal to mask conversation. By leveraging the nonlinear effect of microphone circuits, the adaptive ultrasonic signal can be recorded and demodulated into low-frequency which can effectively squash the sound. Based on the characteristics of the attenuation coefficient and frequency response, we construct a number of jamming signals with different bandwidths and designed a wideband signal injection array, meanwhile adaptively adjust the power at each bandwidth signal to cover more frequency bands and increase usage scenarios. To verify the security of the microphone jamming system, we also utilize several audio recovery methods to recover the raw signal from jamming noise. The experimental results show that less than 1% of the words are recognized in the jamming recording, and even with the audio recovery method, 99% of the words still cannot be recognized in the recovered jamming recording.

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CiteScore
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