Optimized intrusion detection for IoT networks using Cauchy–Gaussian hybrid evolutionary feature selection

Abstract The Internet of Things network is a prime target for attackers due to its vulnerabilities and the sensitive data it handles. Protecting these devices is critical, and an Intrusion Detection System serves as the first defence against breaches. While many intrusion classification methods exis...

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主要な著者:	T. Saranya, S. Indra Priyadharshini
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-12-01
シリーズ:	Scientific Reports
主題:	Active feature selection Arithmetic optimization algorithm (AOA) Ensemble machine learning Internet of Things (IoT) Intrusion detection system (IDS) KD-tree
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-29884-5
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