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

IF 8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Xiaoxiao Qiao;Man Zhou;Hongwei Li;Xiaojing Zhu;Zhihao Yao;Houzhen Wang;Xiaojing Ma
{"title":"NUSGuard: Smart Device Anti-Eavesdropping Protection Based on Near-Ultrasonic Interference","authors":"Xiaoxiao Qiao;Man Zhou;Hongwei Li;Xiaojing Zhu;Zhihao Yao;Houzhen Wang;Xiaojing Ma","doi":"10.1109/TIFS.2025.3592558","DOIUrl":null,"url":null,"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.","PeriodicalId":13492,"journal":{"name":"IEEE Transactions on Information Forensics and Security","volume":"20 ","pages":"7839-7852"},"PeriodicalIF":8.0000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Forensics and Security","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11095788/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

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.
NUSGuard:基于近超声干扰的智能设备防窃听保护
语音助手(VAs)在智能设备中无处不在,并且由于其通过语音交互执行各种任务的能力而受到高度重视,为用户提供了免提的便利。然而,自动助理的永远在线麦克风近年来引起了严重的隐私问题。本文提出并实现了一种新颖实用的反窃听系统NUSGuard。据我们所知,这是第一个利用商业现货(COTS)设备的内置扬声器进行反窃听的系统,从而消除了对专用超声波发射器的需求。具体而言,它利用人耳对近超声信号的不敏感和麦克风固有的非线性,将干扰噪声注入未经授权的智能设备麦克风中。此外,我们提出了一种鲁棒的混合噪声方案和词汇级自动干扰控制策略,有效地干扰未经授权的录音,同时保持与授权VA设备的无缝语音交互。广泛的数字和现实世界的实验已经证明了NUSGuard在干扰有效性和安全性方面的卓越性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信