A novel anomaly detection model for the industrial Internet of Things using machine learning techniques

A novel anomaly detection model for the industrial Internet of Things using machine learning techniques

In recent decades, the pervasive integration of the Internet of Things (IoT) technologies has revolutionized various sectors, including industry 4.0, telecommunications, cloud computing, and healthcare systems. Industry 4.0 applications, characterized by real-time data exchange, increased reliance o...

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Bibliographic Details
Main Authors: Lahcen Idouglid, Said Tkatek, Khalid Elfayq, Azidine Guezzaz
Format: Article
Language:English
Published: National Aerospace University «Kharkiv Aviation Institute» 2024-02-01
Series:Радіоелектронні і комп'ютерні системи
Subjects:
industry 4.0 security
iiot
iot
anomaly detection
feature selection
random forest
Online Access:http://nti.khai.edu/ojs/index.php/reks/article/view/2282

Internet

http://nti.khai.edu/ojs/index.php/reks/article/view/2282

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