Adaptive weighted kernel support vector machine-based circle search approach for intrusion detection in IoT environments

Nowadays, the Internet of Things (IoT) is considered a globally implemented technology in automated network structures. However, the procedures utilized in IoT devices can have security exposures that may affect the entire system. IoT systems are vulnerable to attacks due to the lack of basic securi...

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Veröffentlicht in:	Signal, image and video processing Jg. 18; H. 5; S. 4479 - 4490
Hauptverfasser:	Geetha, C., Johnson, Shiny Duela, Oliver, A. Sheryl, Lekha, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2024 Springer Nature B.V
Schlagworte:	Accuracy Blockchain Communications traffic Computer Imaging Computer Science Cybersecurity Data analysis Datasets Deep learning Denial of service attacks Design Efficiency False alarms Feature extraction Genetic algorithms Image Processing and Computer Vision Internet of Things Intrusion detection systems Kernel functions Multimedia Information Systems Neural networks Original Paper Pattern Recognition and Graphics Preprocessing Radio communications Signal,Image and Speech Processing Smart houses Support vector machines Vision Circle search algorithm Attack detection Internet of Things Adaptive weighted kernel support vector machine
ISSN:	1863-1703, 1863-1711
Online-Zugang:	Volltext
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