Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary Survey
作者： Mohammed Abuhamad , Ahmed Abusnaina , Daehun Nyang , David Mohaisen
DOI: 10.1109/JIOT.2020.3020076
关键词:
摘要: Mobile devices and technologies have become increasingly popular, offering comparable storage computational capabilities to desktop computers allowing users store interact with sensitive private information. The security protection of such personal information are becoming more important since mobile vulnerable unauthorized access or theft. User authentication is a task paramount importance that grants legitimate at the point entry continuously through usage session. This made possible today’s smartphones’ embedded sensors enable continuous implicit user by capturing behavioral biometrics traits. In this article, we survey than 140 recent biometric-based approaches for authentication, including motion-based methods (28 studies), gait-based (19 keystroke dynamics-based (20 touch gesture-based (29 voice-based (16 multimodal-based (34 studies). provides an overview current state-of-the-art using captured sensors, insights open challenges adoption, usability, performance.
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