NUSGuard: Smart Device Anti-Eavesdropping Protection Based on Near-Ultrasonic Interference

  • Xiaoxiao Qiao
  • , Man Zhou
  • , Hongwei Li
  • , Xiaojing Zhu
  • , Zhihao Yao
  • , Houzhen Wang
  • , Xiaojing Ma

Research output: Contribution to journalArticlepeer-review

Abstract

Voice assistants (VAs) have become ubiquitous in smart devices, and are highly valued for their ability to perform a variety of tasks through voice interaction, offering users hands-free convenience. However, the always-on microphones of VAs have raised significant privacy concerns in recent years. In this paper, we propose and implement NUSGuard, a novel and practical anti-eavesdropping system. To our knowledge, it is the first system to utilize the built-in speakers of commercial off-the-shelf (COTS) devices for anti-eavesdropping, thereby eliminating the need for dedicated ultrasonic transmitters. Specifically, it exploits human ears' insensitivity to near-ultrasonic signals and the inherent non-linearity of mic to inject jamming noises into the microphones of unauthorized smart devices. Furthermore, we propose a robust mixed-noise scheme and a lexical-level automatic jammer control strategy, effectively disrupting unauthorized recordings while maintaining seamless voice interaction with authorized VA devices. Extensive digital and real-world experiments have demonstrated NUSGuard's superior performance in terms of jamming effectiveness and security.

Original languageEnglish (US)
Pages (from-to)7839-7852
Number of pages14
JournalIEEE Transactions on Information Forensics and Security
Volume20
DOIs
StatePublished - 2025
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • Security and privacy protection
  • anti-eavesdropping
  • near-ultrasound
  • nonlinearity

Fingerprint

Dive into the research topics of 'NUSGuard: Smart Device Anti-Eavesdropping Protection Based on Near-Ultrasonic Interference'. Together they form a unique fingerprint.

Cite this