Harnessing feature pruning with optimal deep learning based DDoS cyberattack detection on IoT environment

The swift development of the Internet of Things (IoT) devices has created a pressing need for effective cybersecurity measures. They are vulnerable to different cyber threats that can compromise the functionality and security of urban systems. Distributed Denial of Service (DDoS) attacks are among I...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 17516 - 15
Hlavní autori:	Yang, Eunmok, Jeong, Sooyong, Seo, Changho
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 20.05.2025 Nature Publishing Group Nature Portfolio
Predmet:	639/166 639/705 Artificial intelligence Cyberattack detection Deep learning Denial of service attacks Fish migration optimizer Humanities and Social Sciences Internet of Things Machine learning Min–max scalar multidisciplinary Pelican optimization algorithm Science Science (multidisciplinary) Sparse denoising autoencoder Pelican optimization algorithm Fish migration optimizer Min–max scalar Cyberattack detection Sparse denoising autoencoder
ISSN:	2045-2322, 2045-2322
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