Research Article
[Retracted] An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health
Table 4
Per-class accuracy of the models.
| Class | Cu-LSTM+GRU | Cu-GRU+DNN | Cu-BLSTM |
| Normal | 99.84 | 98.86 | 98.93 | DrDos-MSSQL | 98.15 | 97.56 | 98.87 | DrDoS-SSDP | 99.12 | 98.54 | 98.29 | DrDoS | 98.23 | 97.86 | 98.36 | SYN | 98.25 | 97.21 | 98.24ss | WebDDoS | 99.16 | 98.57 | 98.36 | PORTMAP | 99.31 | 99.15 | 98.93 | DrDoS-UDP | 99.08 | 98.62 | 98.41 | UDP-lag | 99.15 | 98.81 | 98.87 |
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