Table 10 Comparative outcome of XAICR-HDLOA approach under BoT-IoT dataset with existing models.
BoT-IoT dataset | ||||
---|---|---|---|---|
Technique | \(\: Accu_{{y}}\) | \(\: Prec_{{n}}\) | \(\: Reca_{{l}}\) | \(\:F1_{Score}\) |
GBC Model | 94.29 | 91.85 | 88.63 | 87.75 |
DT | 89.14 | 91.55 | 88.10 | 84.72 |
GSOM Method | 92.21 | 94.15 | 86.71 | 90.44 |
GANs + AE | 87.61 | 87.90 | 88.84 | 90.13 |
CGANs + FNN | 97.98 | 91.00 | 87.13 | 87.51 |
NB | 89.60 | 89.88 | 89.84 | 88.41 |
Bi-LSTM | 90.80 | 87.70 | 87.13 | 85.95 |
XAICR-HDLOA | 98.25 | 95.52 | 91.92 | 93.42 |