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Cyber intrusion detection using ensemble of deep learning with prediction scoring based optimized feature sets for IOT networks

Detecting intrusions in Internet of Things (IoT) networks is critical for maintaining cybersecurity. Traditional Intrusion Detection Systems (IDS) often face challenges in identifying unknown attacks and tend to have high false positive rates. To address these issues, we propose the Ensemble of Deep...

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Hlavní autoři: Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Vaishali H. Kamble
Médium: Artigo
Jazyk:Inglês
Vydáno: KeAi Communications Co., Ltd. 2025-12-01
Edice:Cyber Security and Applications
Témata:
Cyber-attack
Ensemble
EPSS
Intrusion detection system
IoT
LSTM
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2772918425000050
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