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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| Hoofdauteur: | |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IEEE
2024-01-01
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| Reeks: | IEEE Access |
| Onderwerpen: | |
| Online toegang: | https://ieeexplore.ieee.org/document/10480709/ |
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