Fig 1.
Proposed methodology.
Table 1.
Attack statistics of different classes.
Table 2.
Selected features of the ToN-IoT dataset.
Table 3.
Hyperparameters for small NN and lightweight DT.
Fig 2.
Confusion matrices for the DT, NN and stacking TinyML models.
Fig 3.
Performance metrics of the TinyML models.
Table 4.
Comparison and analysis of performance metrics using ToN-IoT dataset.
Fig 4.
Comparison of accuracy of the proposed stacking TinyML model with the state-of-the-art approaches.
Table 5.
Comparison and analysis of proposed model with different datasets.
Table 6.
Comparison and analysis of performance metrics.