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...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi, Basim Ahmad Alabsi
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Intrusion detection system (IDS) 2D convolutional neural network BoT-IoT 2020 dataset Internet of Things security
Online Access:	https://ieeexplore.ieee.org/document/11197544/