A Robust Behavioral Biometrics Framework for Smartphone Authentication via Hybrid Machine Learning and TOPSIS

Significant vulnerabilities in traditional authentication systems have been demonstrated due to the high dependence on smartphone hardware devices to execute many different and complicated tasks. PINs, passwords, and static biometric techniques have been shown to be subjected to various serious atta...

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Bibliografski detalji

Glavni autori:	Moceheb Lazam Shuwandy, Qutaiba Alasad, Maytham M. Hammood, Ayad A. Yass, Salwa Khalid Abdulateef, Rawan A. Alsharida, Sahar Lazim Qaddoori, Saadi Hamad Thalij, Maath Frman, Abdulsalam Hamid Kutaibani, Noor S. Abd
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-04-01
Serija:	Journal of Cybersecurity and Privacy
Teme:	smartphone authentication systems cybersecurity behavioral biometrics machine learning TOPSIS
Online pristup:	https://www.mdpi.com/2624-800X/5/2/20
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