Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors

Continuous user authentication is critical to mobile device security, addressing vulnerabilities associated with traditional one-time authentication methods. This research proposes a hybrid deep learning framework that combines techniques from computer vision and sequence modeling, namely, ViT-inspi...

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書目詳細資料

Principais autores:	Bandar Alotaibi, Munif Alotaibi
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2025-04-01
叢編:	Sensors
主題:	cybersecurity wearable sensors continuous user authentication deep learning behavioral patterns
在線閱讀:	https://www.mdpi.com/1424-8220/25/9/2817
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