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EFS-IDS: An Enhanced Feature-Selective Intrusion Detection System for Imbalanced IoT Traffic Data

The rapid proliferation of the Internet of Things (IoT) has expanded the surface of cyberattacks, intensifying the need for intelligent and adaptive Intrusion Detection Systems (IDS). Conventional IDS solutions often struggle with high-dimensional feature spaces, class imbalance, and computational l...

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Principais autores: S. Gopikrishnan, Pujitha Jonnalagadda, Maha Driss, Wadii Boulila
Formato: Artigo
Idioma:Inglês
Publicado em: IEEE 2025-01-01
coleção:IEEE Open Journal of the Communications Society
Assuntos:
Intrusion detection system (IDS)
Internet of Things (IoT)
class imbalance
feature selection
deep learning
convolutional neural networks (CNN)
Acesso em linha:https://ieeexplore.ieee.org/document/11234896/
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