Patronus

Li, Lingkun; Liu, Manni; Yao, Yuguang; Dang, Fan; Cao, Zhichao

doi:10.1145/3384419.3430713

Cited by 12 publications

(6 citation statements)

References 11 publications

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“…Here we compare our noise with the counterparts in two other related works, namely Backdoor [11] and Patronus [13], and a commercial off-the-shelf device [27]. The noise in [13] consists of dynamic frequencies and chirps. The range of frequency is [50, 40k] Hz and the duration of signal in each frequency is 0.2s.…”

Section: Comparisons With Other Jamming Methodsmentioning

confidence: 99%

“…The effectiveness of energetic masking mainly depends on the relative energy of the noise to the target signal, while for the latter, it mainly depends on the content of the noise [22]- [24]. Existing works [11]- [13] focus on utilizing energetic masking, which leads to a high demand for energy and is not suitable in the ultrasonic transmission scenario.…”

Section: Key Insightmentioning

confidence: 99%

“…With the compensated jamming noise, we now proceed to modulate it onto a carrier and transmit it via ultrasound transmitters to jamming microphones stealthily. However, the two widely used modulation methods, double sideband amplitude modulation (DSB-AM) [10], [13] and frequency modulation (FM) [11], are not suitable here. The wide frequency range of our noise results in a large bandwidth of the modulated signal if DSB-AM is applied, which increases the audibility of the noise because of the self-demodulation in the transmitter [11], [17].…”

Section: Speech Ratementioning

confidence: 99%

“…Roy et al inject white noise to microphones using ultrasound [11]. Li frequency according to a preset key to prevent the unauthorized devices from recording audios, while enabling the authorized users to recover speech signals from the noisy recordings [13]. Sun et al propose MicShield, which can prevent the always-on microphones in smart home devices from recording private speech while passing the preset voice commands [15].…”

Section: Related Workmentioning

confidence: 99%

“…Based on this, Chen et al implement a bracelet-like wearable to emit ultrasound noises, achieving good jamming coverage by utilizing users' irregular arm movements [12]. Li et al propose Patronus [13] that can disturb recorders MicFrozen [14] Speech * ✓ ✓ ✗ ✗ MicShield [15] WGN ✓ ✗ ✗ ✗ Roy et al [11] WGN * ✗ ✗ ✗ ✗ Patronus [13] Random Freq. * ✓ ✗ ✓ ✓ Chen et al [ with carefully designed noises and adopts an iron reflection layer to extend coverage.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

InfoMasker: Preventing Eavesdropping Using Phoneme-Based Noise

Huang¹,

Yao²,

Cheng³

et al. 2023

Proceedings 2023 Network and Distributed System Security Symposium

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The widespread smart devices raise people's concerns of being eavesdropped on. To enhance voice privacy, recent studies exploit the nonlinearity in microphone to jam audio recorders with inaudible ultrasound. However, existing solutions solely rely on energetic masking. Their simple-form noise leads to several problems, such as high energy requirements and being easily removed by speech enhancement techniques. Besides, most of these solutions do not support authorized recording, which restricts their usage scenarios. In this paper, we design an efficient yet robust system that can jam microphones while preserving authorized recording. Specifically, we propose a novel phoneme-based noise with the idea of informational masking, which can distract both machines and humans and is resistant to denoising techniques. Besides, we optimize the noise transmission strategy for broader coverage and implement a hardware prototype of our system. Experimental results show that our system can reduce the recognition accuracy of recordings to below 50% under all tested speech recognition systems, which is much better than existing solutions.

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Section: Comparisons With Other Jamming Methodsmentioning

confidence: 99%