NUSGuard:基于近超声干扰的智能设备防窃听保护

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:基于近超声干扰的智能设备防窃听保护","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":"{\"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}","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

摘要

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。
NUSGuard: Smart Device Anti-Eavesdropping Protection Based on Near-Ultrasonic Interference
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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