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 language | English (US) |
|---|---|
| Pages (from-to) | 7839-7852 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Information Forensics and Security |
| Volume | 20 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
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