Research Article
Deep Autoencoders and Feedforward Networks Based on a New Regularization for Anomaly Detection
Table 2
Training and testing time for each model.
| | Model | Dataset | Training time (sec) | Testing time (sec) |
| | Proposed FFN | NSL-KDD | 700.5 | 436.01 | | Proposed VAE | NSL-KDD | 1203.7 | 545.3 | | Proposed FFN | UNSW-NB15 | 423.8 | 264.2 | | Proposed VAE | UNSW-NB15 | 689.8 | 360.1 |
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