Integrating Physical Unclonable Functions with Machine Learning for the Authentication of Edge Devices in IoT Networks

Edge computing (EC) faces unique security threats due to its distributed architecture, resource-constrained devices, and diverse applications, making it vulnerable to data breaches, malware infiltration, and device compromise. The mitigation strategies against EC data security threats include encryp...

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Bibliographic Details
Main Authors:	Abdul Manan Sheikh, Md. Rafiqul Islam, Mohamed Hadi Habaebi, Suriza Ahmad Zabidi, Athaur Rahman Bin Najeeb, Adnan Kabbani
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Series:	Future Internet
Subjects:	edge computing physical unclonable functions challenge-response pairs machine learning support vector machine logistic regression
Online Access:	https://www.mdpi.com/1999-5903/17/7/275
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Integrating Physical Unclonable Functions with Machine Learning for the Authentication of Edge Devices in IoT Networks

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