Table 4 \({\delta }_{rate}\) Analysis of GraphFedAI.
Methods | Conditions | \(Acc\) | \(pre\) | \(Rec\) | \(lat(ms)\) |
|---|---|---|---|---|---|
GraphFedAI | \(packe{t}_{traffic}\) | 98.7 ± 0.109 | 98.2 ± 0.109 | 98.3 ± 0.109 | 24.2 ± 3.2 |
\(co{n}_{dura}\) | 98.4 ± 0.09 | 98.3 ± 0.09 | 98.5 ± 0.09 | 26.3 ± 3.1 | |
\(packe{t}_{size}\) | 97.9 ± 0.10 | 98.0 ± 0.10 | 97.8 ± 0.10 | 28.3 ± 3.5 | |
\(time\) | 98.6 ± 0.087 | 98.3 ± 0.087 | 98.2 ± 0.087 | 27.3 ± 4.1 | |
LBML19 | \(packe{t}_{traffic}\) | 94.5 ± 0.28 | 93.8 ± 0.28 | 94 ± 0.28 | 45 ± 3.5 |
\(co{n}_{dura}\) | 93.9 ± 0.263 | 94 ± 0.263 | 93.8 ± 0.263 | 46.22 ± 3.7 | |
\(packe{t}_{size}\) | 94.15 ± 0.13 | 94.1 ± 0.13 | 94.2 ± 0.13 | 44.23 ± 3.2 | |
\(time\) | 94.1 ± 0.23 | 94.3 ± 0.23 | 93.9 ± 0.23 | 47.2 ± 3.8 | |
XG-Adaboost20 | \(packe{t}_{traffic}\) | 95.6 ± 0.24 | 94.7 ± 0.24 | 94.9 ± 0.24 | 40 ± 4.2 |
\(co{n}_{dura}\) | 94.65 ± 0.187 | 94.6 ± 0.187 | 94.7 ± 0.187 | 41.3 ± 4.5 | |
\(packe{t}_{size}\) | 94.7 ± 0.34 | 94.8 ± 0.34 | 94.6 ± 0.34 | 42.5 ± 4.02 | |
\(time\) | 94.9 ± 0.12 | 94.9 ± 0.12 | 94.9 ± 0.12 | 39.24 ± 4.1 | |
LCNN21 | \(packe{t}_{traffic}\) | 97.2 ± 0.03 | 96.5 ± 0.03 | 96.8 ± 0.03 | 32 ± 3.5 |
\(co{n}_{dura}\) | 96.65 ± 0.02 | 96.7 ± 0.02 | 96.6 ± 0.02 | 33.2 ± 3.2 | |
\(packe{t}_{size}\) | 96.65 ± 0.04 | 96.4 ± 0.04 | 96.9 ± 0.04 | 35.22 ± 3.01 | |
\(time\) | 96.75 ± 0.102 | 96.8 ± 0.102 | 96.7 ± 0.102 | 32.18 ± 3.45 | |
GRU22 | \(packe{t}_{traffic}\) | 96.8 ± 0.123 | 96.1 ± 0.123 | 96.3 ± 0.123 | 30 ± 3.34 |
\(co{n}_{dura}\) | 96.35 ± 0.13 | 96.2 ± 0.13 | 96.5 ± 0.13 | 29.3 ± 2.98 | |
\(packe{t}_{size}\) | 96.62 ± 0.25 | 96.34 ± 0.25 | 96.9 ± 0.25 | 30.3 ± 3.23 | |
\(time\) | 97.02 ± 0.34 | 96.89 ± 0.34 | 97.23 ± 0.34 | 31.39 ± 3.53 |
