An intrusion detection system in the Internet of Things with deep learning and an improved arithmetic optimization algorithm (AOA) and sine cosine algorithm (SCA)

The Internet of Things (IoT) is vulnerable to cyber-attacks due to limited security mechanisms and resources constraints. Traditional intrusion detection systems (IDS) deal with imbalanced datasets, high-dimensional network traffic, and the inability to detect new attacks. This research proposes an...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 38156 - 25
1. Verfasser:	Ghadami, Raheleh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 31.10.2025 Nature Publishing Group Nature Portfolio
Schlagworte:	639/166/987 639/705/117 Algorithms Datasets Deep learning Denial of service attacks Feature selection Game theory Generative adversarial network (GAN) Humanities and Social Sciences Internet of Things Internet of Things (IoT) Intrusion detection system (IDS) Long short-term memory multidisciplinary Neural networks Parallel convolutional neural network (PCNN) Science Science (multidisciplinary) Sensors Spatial discrimination learning Internet of Things (IoT) Feature selection Intrusion detection system (IDS) Generative adversarial network (GAN) Game theory Parallel convolutional neural network (PCNN)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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