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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מידע ביבליוגרפי

Principais autores:	Bandar Alotaibi, Munif Alotaibi
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-04-01
סדרה:	Sensors
נושאים:	cybersecurity wearable sensors continuous user authentication deep learning behavioral patterns
גישה מקוונת:	https://www.mdpi.com/1424-8220/25/9/2817
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!