Trends in IoT intrusion detection: A bibliometric analysis of deep learning approaches

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Trends in IoT intrusion detection: A bibliometric analysis of deep learning approaches

The Internet of Things (IoT) has transformed modern technology by interconnecting devices and systems, improving efficiency and functionality across various domains. However, its rapid expansion has also introduced significant security vulnerabilities, necessitating the development of robust intrusi...

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Bibliographic Details
Main Authors:	Amir Muhammad Hafiz, Othman, Mohd Faizal, Ab Razak, Ahmad Firdaus, Zainal Abidin, Syazwani, Ramli, Wan Nur Syamilah, Wan Ali
Format:	Article
Language:	English
Published:	Insight Society 2025
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/45210/

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