Table 7 Comparative analysis of TTOCDM-XAIRNN approach under the CICIDS 2017 dataset22,23,36,37,38.
CICIDS 2017 | ||||
|---|---|---|---|---|
Methods | \(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\) | \(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\) | \(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\) | \(\:{\varvec{F}}_{\varvec{m}\varvec{e}\varvec{a}\varvec{n}\varvec{s}}\) |
FURIA Method | 98.14 | 97.57 | 96.93 | 98.26 |
Forest-PA | 96.72 | 96.97 | 97.32 | 98.13 |
BLDSVM | 90.41 | 95.25 | 95.37 | 96.08 |
BBPM Algorithm | 97.71 | 95.27 | 94.37 | 98.29 |
BLR Model | 91.97 | 98.12 | 97.77 | 92.12 |
GSAE Method | 97.63 | 95.97 | 98.29 | 98.19 |
LIB-SVM | 96.57 | 96.96 | 96.83 | 97.92 |
OC-SVM | 96.77 | 97.03 | 97.37 | 98.20 |
DT | 90.49 | 95.33 | 95.44 | 96.15 |
GWO-LOARF | 97.76 | 95.35 | 94.44 | 98.35 |
TTOCDM-XAIRNN | 98.87 | 98.87 | 98.87 | 98.87 |
