Machine learning: enhanced dynamic clustering for privacy preservation and malicious node detection in industrial internet of things

Machine learning: enhanced dynamic clustering for privacy preservation and malicious node detection in industrial internet of things

Abstract The Industrial Internet of Things (IIoT)continues to redefine industrial automation through connected smart devices, yet it remains highly vulnerable to privacy breaches and malicious intrusions. This research introduces ML-DCPP, a Machine Learning-based Dynamic Clustering and Privacy Prese...

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Bibliographic Details
Main Authors: Nabeela Hasan, Saima Saleem, Mudassir Khan, Abdulatif Alabdultif, Mohammad Mazhar Nezami, Mansaf Alam
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Computing
Subjects:
Cryptography
Dynamic clustering
Industrial internet of things (IIoT)
Machine learning
Malicious node detection
Privacy preservation
Online Access:https://doi.org/10.1007/s10791-025-09689-w
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https://doi.org/10.1007/s10791-025-09689-w

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