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

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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1999-5903/17/7/275

Similar Items