Continuous Authentication for Voice Assistants
Open accessAbstract
Voice has become an increasingly popular User Interaction (UI) channel, mainly contributing to the current trend of wearables, smart vehicles, and home automation systems. Voice assistants such as Alexa, Siri, and Google Now, have become our everyday fixtures, especially when/where touch interfaces are inconvenient or even dangerous to use, such as driving or exercising. The open nature of the voice channel makes voice assistants difficult to secure, and hence exposed to various threats as demonstrated by security researchers. To defend against these threats, we present VAuth, the first system that provides continuous authentication for voice assistants. VAuth is designed to fit in widely-adopted wearable devices, such as eyeglasses, earphones/buds and necklaces, where it collects the body-surface vibrations of the user and matches it with the speech signal received by the voice assistant's microphone. VAuth guarantees the voice assistant to execute only the commands that originate from the voice of the owner. We have evaluated VAuth with 18 users and 30 voice commands and find it to achieve 97% detection accuracy and less than 0.1% false positive rate, regardless of VAuth's position on the body and the user's language, accent or mobility. VAuth successfully thwarts various practical attacks, such as replay attacks, mangled voice attacks, or impersonation attacks. It also incurs low energy and latency overheads and is compatible with most voice assistants.
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Speaker recognition is one of the important means for identity identification, which has many applications in various AIoT domains, for example, automatic transcription system for multi-person meetings, personalized recommendation by smart voice assistants [170], and audio forensics [171].
“Speaker recognition is one of the important means for identity identification, which has many applications in various AIoT domains, for example, automatic transcription system for multi-person meetings, personalized recommendation by smart voice assistants [170], and audio forensics [171].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [170]
Continuous speaker authentication in smart home voice assistants by integrating body-surface vibration signals with speech signal is related to smart security.
“For example, 1) continuous speaker authentication [170] in smart home voice assistants by integrating body-surface vibration signals with speech signal, is related to smart security (Section IV-A);”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [170]
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Robust Detection of Machine-induced Audio Attacks in Intelligent Audio Systems with Microphone Array
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Traversing the Quagmire that is Privacy in your Smart Home
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- Authors
- Feng, H., Fawaz, K., & Shin, K. G.
- Affiliations
- University of Michigan (US)
- Venue
- Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking
- Publisher
- ACM
- Published
- 2017-10-04
- Pages
- 343-355
- ISSN
- 1543-5679 (ISSN-L)
- OpenAlex
- W2575585029
- Cited by
- 293
- References
- 25
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 31 · 2023: 32 · 2022: 50 · 2021: 47 · 2020: 47 · 2019: 33 · 2018: 19 · 2017: 1
- FWCI
- 21.00
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- ACM Annual International Conference on Mobile Computing and Networking (MobiCom) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- NSF (CNS-1505785, CNS-1646130)
- Topics
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- continuous authentication, voice assistants, wearable devices, speech authentication, replay attacks, impersonation attacks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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