Deep learning-based intrusion detection for IoT networks: a scalable and efficient approach

Abstract The rapid expansion of the Internet of Things (IoT) has revolutionized industries by enabling seamless connectivity, but it has also introduced significant security vulnerabilities, making IoT networks prime targets for cyberattacks. Traditional intrusion detection systems often struggle to...

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Bibliographic Details

Published in:	EURASIP Journal on Information Security
Main Author:	Md. Alamgir Hossain
Format:	Article
Language:	English
Published:	SpringerOpen 2025-09-01
Subjects:	IoT security Intrusion detection system (IDS) Deep learning in cybersecurity Flow-based network analysis Anomaly detection in IoT
Online Access:	https://doi.org/10.1186/s13635-025-00202-w