Eve Said Yes: AirBone Authentication for Head-Wearable Smart Voice Assistant
Chenpei Huang, Hui Zhong, Jie Lian, Pavana Prakash, Dian Shi, Yuan Xu,, and Miao Pan

TL;DR
This paper proposes a novel two-stage AirBone authentication method using head-wearable devices to enhance security against voice spoofing attacks by leveraging unique bone conduction features.
Contribution
It introduces a new multi-factor authentication approach combining air and bone conduction signals, improving security for smart voice assistants against sophisticated spoofing.
Findings
AirBone authentication effectively detects spoofing attacks.
The method achieves high security with good usability.
It can be implemented on commercial head-wearables.
Abstract
Recent advances in machine learning and natural language processing have fostered the enormous prosperity of smart voice assistants and their services, e.g., Alexa, Google Home, Siri, etc. However, voice spoofing attacks are deemed to be one of the major challenges of voice control security, and never stop evolving such as deep-learning-based voice conversion and speech synthesis techniques. To solve this problem outside the acoustic domain, we focus on head-wearable devices, such as earbuds and virtual reality (VR) headsets, which are feasible to continuously monitor the bone-conducted voice in the vibration domain. Specifically, we identify that air and bone conduction (AC/BC) from the same vocalization are coupled (or concurrent) and user-level unique, which makes them suitable behavior and biometric factors for multi-factor authentication (MFA). The legitimate user can defeat…
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Taxonomy
TopicsSpeech Recognition and Synthesis · Voice and Speech Disorders · Cleft Lip and Palate Research
