A Comprehensive Analysis of the Machine Learning Algorithms in IoT IDS Systems

In this study, machine learning algorithms in IoT IDS (Internet of Things Intrusion Detection System) systems are comprehensively compared from various aspects. Accuracy, precision, and training time are evaluated. The effects of data preprocessing techniques including normalization, outlier removal...

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Hlavní autor:	Erdal Ozdogan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	IoT attack detection IoT IDS ML algorithm comparison machine learning preprocessing machine learning in IoT IDS
On-line přístup:	https://ieeexplore.ieee.org/document/10480709/
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