Table 8 Comparative outcome of CDM-BEOSAEM model on the Edge-IIoT dataset25,26,27,28.

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

Edge-IIoT dataset

Technique

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

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

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

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

1D CNN

93.45

93.88

92.39

95.79

SVM Method

96.37

95.14

92.06

94.75

Gradient Boost

92.03

92.23

94.00

95.04

J48 Model

90.85

92.30

90.74

90.19

RNN Algorithm

90.42

94.33

90.78

91.69

LSTM Classifier

96.29

94.78

93.05

93.06

FedMLDL-HPO

98.55

95.08

92.95

92.87

CDM-BEOSAEM

99.29

96.10

96.10

96.10

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