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Comparative analysis of machine learning models for multiclass anomaly detection in internet of things network traffic using the RT-IoT2022 dataset.

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Title: Comparative analysis of machine learning models for multiclass anomaly detection in internet of things network traffic using the RT-IoT2022 dataset.
Authors: Dymora, Paweł1, pawel.dymora@prz.edu.pl, Mazurek, Mirosław1, Łukiewicz, Konrad1, Bokota, Kamil1
Source: Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 4, p45-59, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Science+%26+Technology+Research+Journal%22">Advances in Science & Technology Research Journal</searchLink>; 2026, Vol. 20 Issue 4, p45-59, 15p
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      – Type: doi
        Value: 10.12913/22998624/213807
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 45
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      – TitleFull: Comparative analysis of machine learning models for multiclass anomaly detection in internet of things network traffic using the RT-IoT2022 dataset.
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            NameFull: Mazurek, Mirosław
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            NameFull: Łukiewicz, Konrad
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            – D: 01
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 20
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              Value: 4
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