Peng Huang (Zhejiang University), Yao Wei (Zhejiang University), Peng Cheng (Zhejiang University), Zhongjie Ba (Zhejiang University), Li Lu (Zhejiang University), Feng Lin (Zhejiang University), Fan Zhang (Zhejiang University), Kui Ren (Zhejiang University)

With the wide deployment of microphone-equipped smart devices, more and more users have concerns that their voices would be secretly recorded. Recent studies show that microphones have nonlinearity and can be jammed by inaudible ultrasound, which leads to the emergence of ultrasonic-based anti-eavesdropping research. However, existing solutions are implemented through energetic masking and require high energy to disturb human voice. Since ultrasonic noise can only remain inaudible at limited energy, such noise can merely cover a short distance and can be easily removed by adversaries, which makes these solutions impractical. In this paper, we explore the idea of informational masking, study the transmission and coverage constraints of ultrasonic jamming, and implement a highly effective anti-eavesdropping system, named InfoMasker. Specifically, we design a phoneme-based noise that is robust against denoising methods and can effectively prevent both humans and machines from understanding the jammed signals. We optimize the ultrasonic transmission method to achieve higher transmission energy and lower signal distortion, then implement a prototype of our system. Experimental results show that InfoMasker can effectively reduce the accuracy of all tested speech recognition systems to below 50% even at low energies (SNR=0), which is much better than existing noise designs.

View More Papers

DiffCSP: Finding Browser Bugs in Content Security Policy Enforcement...

Seongil Wi (KAIST), Trung Tin Nguyen (CISPA Helmholtz Center for Information Security, Saarland University), Jihwan Kim (KAIST), Ben Stock (CISPA...

Read More

VICEROY: GDPR-/CCPA-compliant Enforcement of Verifiable Accountless Consumer Requests

Scott Jordan (University of California, Irvine), Yoshimichi Nakatsuka (University of California, Irvine), Ercan Ozturk (University of California, Irvine), Andrew Paverd...

Read More

Browser Permission Mechanisms Demystified

Kazuki Nomoto (Waseda University), Takuya Watanabe (NTT Social Informatics Laboratories), Eitaro Shioji (NTT Social Informatics Laboratories), Mitsuaki Akiyama (NTT Social...

Read More

MetaWave: Attacking mmWave Sensing with Meta-material-enhanced Tags

Xingyu Chen (University of Colorado Denver), Zhengxiong Li (University of Colorado Denver), Baicheng Chen (University of California San Diego), Yi...

Read More