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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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 17516 - 15
Main Authors:	Yang, Eunmok, Jeong, Sooyong, Seo, Changho
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 20.05.2025 Nature Publishing Group Nature Portfolio
Subjects:	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
Online Access:	Get full text
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