Table 3 Comparative outcome of CDM-BEOSAEM model on the ToN-IoT dataset25,26,27,28.

From: Enhancing cyberthreat defense mechanisms using ensemble of representation learning with binary Ebola optimization search in internet of things environment

ToN-IoT dataset

Classifier

\(\:Acc{u}_{y}\)

\(\:Pre{c}_{n}\)

\(\:Rec{a}_{l}\)

\(\:{F}_{score}\)

1D CNN

91.03

90.77

91.10

90.03

SVM Method

90.50

92.93

89.15

90.38

GB

90.54

89.42

90.60

91.19

LDA Model

97.74

92.41

90.04

89.14

CART Method

90.52

92.10

90.58

90.94

Bi-LSTM

90.20

91.33

91.01

90.94

FedMLDL-HPO

96.95

92.82

89.17

90.40

CDM-BEOSAEM

98.93

93.61

91.82

92.56

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