VibHead: An Authentication Scheme for Smart Headsets through Vibration
Feng Li, Jiayi Zhao, Huan Yang, Dongxiao Yu, Yuanfeng Zhou, Yiran Shen

TL;DR
VibHead is a vibration-based authentication system for smart headsets that uses CNN to identify users through unique vibration patterns, offering a lightweight and accurate alternative to traditional methods.
Contribution
This paper introduces VibHead, a novel vibration-based authentication scheme for smart headsets utilizing CNN for user classification, enhancing security without heavy hardware or usability compromise.
Findings
Achieves around 95% accuracy with short vibration signals.
FAR and FRR are approximately 5%.
Implemented on Microsoft HoloLens with common sensors.
Abstract
Recent years have witnessed the fast penetration of Virtual Reality (VR) and Augmented Reality (AR) systems into our daily life, the security and privacy issues of the VR/AR applications have been attracting considerable attention. Most VR/AR systems adopt head-mounted devices (i.e., smart headsets) to interact with users and the devices usually store the users' private data. Hence, authentication schemes are desired for the head-mounted devices. Traditional knowledge-based authentication schemes for general personal devices have been proved vulnerable to shoulder-surfing attacks, especially considering the headsets may block the sight of the users. Although the robustness of the knowledge-based authentication can be improved by designing complicated secret codes in virtual space, this approach induces a compromise of usability. Another choice is to leverage the users' biometrics;…
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Taxonomy
TopicsUser Authentication and Security Systems · Emotion and Mood Recognition · Gait Recognition and Analysis
