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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Auteur principal:	Md. Alamgir Hossain
Format:	Artigo
Langue:	Inglês
Publié:	SpringerOpen 2025-09-01
Collection:	EURASIP Journal on Information Security
Sujets:	IoT security Intrusion detection system (IDS) Deep learning in cybersecurity Flow-based network analysis Anomaly detection in IoT
Accès en ligne:	https://doi.org/10.1186/s13635-025-00202-w
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