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Behaviors Speak More: Achieving User Authentication Leveraging Facial Activities via mmWave Sensing

Year: 2025

Type: article

Abstract: It's common to use the face or fingerprint to unlock the smartphone or log into an app. While convenient, these methods can be fooled. Researchers have shown that things like high-quality photos, 3D-printed masks, or fake fingerprints can trick these systems [10]. To prevent this, developers often add extra security steps, like asking you to blink your eyes during a face scan [4]. Existing research has explored the integration of user authentication and liveness detection, such as speech-induced facial vibration [7]. However, those designs even require sophisticated hardware design or specialized sensors [10]. Even worse, among those using the onboard camera for collecting sensitive facial information as biometrics [2], users' privacy is inevitably compromised.

Source: GetMobile Mobile Computing and Communications

DOI: 10.1145/3774505.3774516

Authors: Chenxu Jiang, Sihan Yu, Jingjing Fu, Chun-Chih Lin, Huadi Zhu, Xiaolong Ma, Ming Li, Linke Guo

Institutions: Clemson University, Rowan University, Georgia State University, University of Arizona, The University of Texas at Arlington

Language: English

Topic: User Authentication and Security Systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4415715114

FWCI:

Cites: 9

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