Maximizing intrusion detection efficiency for IoT networks using extreme learning machine

Abstract Intrusion Detection Systems (IDSs) are crucial for safeguarding modern IoT communication networks against cyberattacks. IDSs must exhibit exceptional performance, low false positive rates, and significant flexibility in constructing attack patterns to efficiently identify and neutralize the...

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Auteurs principaux:	Shahad Altamimi, Qasem Abu Al-Haija
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2024-07-01
Collection:	Discover Internet of Things
Sujets:	Extreme Learning Machine (ELM) Intrusion detection system (IDS) Machine learning Internet of Things (IoT) Cyber-attack
Accès en ligne:	https://doi.org/10.1007/s43926-024-00060-x
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