An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment

An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment

Abstract In an era of increasing sophistication and frequency of cyber threats, securing Internet of Things (IoT) networks has become a paramount concern. IoT networks, with their diverse and interconnected devices, face unique security challenges that traditional methods often fail to address effec...

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Bibliographic Details
Main Authors: G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Intrusion detection system
Internet of things
Dynamic feature selection
Machine learning
Anomaly detection
Security systems
Online Access:https://doi.org/10.1038/s41598-025-91663-z
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https://doi.org/10.1038/s41598-025-91663-z

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