research-article

Detecting Hidden Voice Recorders via ADC Electromagnetic Radiation

Authors:

Wenyuan XuAuthors Info & Claims

ACM Transactions on Sensor Networks, Volume 20, Issue 6

Article No.: 127, Pages 1 - 26

https://doi.org/10.1145/3700595

Published: 23 November 2024 Publication History

Abstract

Unauthorized covert voice recording presents a significant threat to privacy-sensitive scenarios, such as confidential meetings and private conversations. Due to their miniaturization and disguise characteristics, hidden voice recorders are difficult to notice. In this article, we present DeHiREC, the first proof-of-concept system capable of detecting offline hidden voice recorders from their electromagnetic radiations (EMR). We first characterize the unique patterns of the emanated EMR signals and then locate the EMR source, i.e., the analog-to-digital converter module embedded in the mixed signal system-on-chips. Since these unintentional EMR signals can be extremely noisy and weak, accurately detecting them can be challenging. To address this challenge, we design an EMR Catalyzing method to actively stimulate the EMR signals and then employ an adaptive-folding algorithm to improve the signal-to-noise ratio of the sensed EMRs. We evaluate the performance of DeHiREC on 18 commercial voice recorders under various impacts, including interference from other devices. Experimental results reveal that DeHiREC is effective in detecting all 18 voice recorders and achieves an overall success rate of 94.72% and a recall rate of 92.03% at a distance of 0.2 m.

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Cited By

Zhu HDong EXu MLv HWu F(2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024
https://doi.org/10.3390/s24227195
Yang XChang TZhang TWang SHong RWang M(2024)Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and RecognitionInternational Journal of Computer Vision10.1007/s11263-024-02106-7132:11(4823-4849)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11263-024-02106-7

Index Terms

Detecting Hidden Voice Recorders via ADC Electromagnetic Radiation
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Privacy protections

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 20, Issue 6

November 2024

422 pages

EISSN:1550-4867

DOI:10.1145/3613636

Editor:
Wen Hu
University of New South Wales, Australia

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Publication History

Published: 23 November 2024

Online AM: 22 October 2024

Accepted: 17 September 2024

Revised: 03 July 2024

Received: 20 March 2024

Published in TOSN Volume 20, Issue 6

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Cited By

Zhu HDong EXu MLv HWu F(2024)Commodity Wi-Fi-Based Wireless Sensing Advancements over the Past Five YearsSensors10.3390/s2422719524:22(7195)Online publication date: 10-Nov-2024
https://doi.org/10.3390/s24227195
Yang XChang TZhang TWang SHong RWang M(2024)Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and RecognitionInternational Journal of Computer Vision10.1007/s11263-024-02106-7132:11(4823-4849)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1007/s11263-024-02106-7

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