Optimizing 2D CNN Architectures for Tabular IoT Intrusion Data: A Comparative Study Using the BoT-IoT 2020 Dataset
The increasing number of Internet-enabled devices has demonstrated the need to have accurate intrusion detection systems (IDSs). To address this, we adapt the structure of two-dimensional convolutional neural networks (2D CNNs). Particularity, we restructure the inputs and tune convolutional/dense l...
Tallennettuna:
| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
IEEE
2025-01-01
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| Sarja: | IEEE Access |
| Aiheet: | |
| Linkit: | https://ieeexplore.ieee.org/document/11197544/ |
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