A secure framework for the Internet of Things anomalies using machine learning

A secure framework for the Internet of Things anomalies using machine learning

Abstract The Internet of Things (IoT) revolutionises modern technology, offering unprecedented opportunities for connectivity and automation. However, the increased adoption of IoT devices introduces substantial security vulnerabilities, necessitating effective anomaly detection frameworks. This Pap...

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Bibliographic Details
Main Authors: Vijay Prakash, Olukayode Odedina, Ajay Kumar, Lalit Garg, Seema Bawa
Format: Article
Language:English
Published: Springer 2024-12-01
Series:Discover Internet of Things
Subjects:
Internet of Things
Machine learning
Classification models
Anomalies
Security framework
Ensembling
Online Access:https://doi.org/10.1007/s43926-024-00088-z
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