Anti-Spoofing Voice Commands

Author:

Zhao Cui1,Li Zhenjiang2,Ding Han3,Xi Wei3,Wang Ge3,Zhao Jizhong3

Affiliation:

1. School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China

2. City University of Hong Kong, Hong Kong, China, CityU Shenzhen Research Institute, Shen Zhen, China

3. School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China

Abstract

This paper presents an anti-spoofing design to verify whether a voice command is spoken by one live legal user, which supplements existing speech recognition systems and could enable new application potentials when many crucial voice commands need a higher-standard verification in applications. In the literature, verifying the liveness and legality of the command's speaker has been studied separately. However, to accept a voice command from a live legal user, prior solutions cannot be combined directly due to two reasons. First, previous methods have introduced various sensing channels for the liveness detection, while the safety of a sensing channel itself cannot be guaranteed. Second, a direct combination is also vulnerable when an attacker plays a recorded voice command from the legal user and mimics this user to speak the command simultaneously. In this paper, we introduce an anti-spoofing sensing channel to fulfill the design. More importantly, our design provides a generic interface to form the sensing channel, which is compatible to a variety of widely-used signals, including RFID, Wi-Fi and acoustic signals. This offers a flexibility to balance the system cost and verification requirement. We develop a prototype system with three versions by using these sensing signals. We conduct extensive experiments in six different real-world environments under a variety of settings to examine the effectiveness of our design.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Room-Scale Voice Liveness Detection for Smart Devices;IEEE Transactions on Dependable and Secure Computing;2024-09

2. Enabling Multi-Frequency and Wider-Band RFID Sensing Using COTS Device;IEEE/ACM Transactions on Networking;2024-08

3. Phantom-CSI Attacks against Wireless Liveness Detection;Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses;2023-10-16

4. VoShield: Voice Liveness Detection with Sound Field Dynamics;IEEE INFOCOM 2023 - IEEE Conference on Computer Communications;2023-05-17

5. A Continuous Articulatory-Gesture-Based Liveness Detection for Voice Authentication on Smart Devices;IEEE Internet of Things Journal;2022-12-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3