Table 2 DDoS attack recognition outcome of SSODE-GCNDM technique under distinct epochs.

From: Hybridization of synergistic swarm and differential evolution with graph convolutional network for distributed denial of service detection and mitigation in IoT environment

Class

\(\:\varvec{A}\varvec{c}\varvec{c}{\varvec{u}}_{\varvec{y}}\)

\(\:\varvec{P}\varvec{r}\varvec{e}{\varvec{c}}_{\varvec{n}}\)

\(\:\varvec{R}\varvec{e}\varvec{c}{\varvec{a}}_{\varvec{l}}\)

\(\:{\varvec{F}}_{\varvec{m}\varvec{e}\varvec{a}\varvec{s}\varvec{u}\varvec{r}\varvec{e}}\)

\(\:{\varvec{G}}_{\varvec{M}\varvec{e}\varvec{a}\varvec{n}\varvec{s}}\)

Epoch − 500

DDoS Attack

99.10

97.92

99.10

98.51

98.51

Normal

96.50

98.47

96.50

97.47

97.48

Average

97.80

98.20

97.80

97.99

98.00

Epoch − 1000

DDoS Attack

99.90

99.60

99.90

99.75

99.75

Normal

99.33

99.83

99.33

99.58

99.58

Average

99.62

99.72

99.62

99.67

99.67

Epoch − 1500

DDoS Attack

99.40

98.71

99.40

99.05

99.05

Normal

97.83

98.99

97.83

98.41

98.41

Average

98.62

98.85

98.62

98.73

98.73

Epoch − 2000

DDoS Attack

99.30

97.83

99.30

98.56

98.56

Normal

96.33

98.80

96.33

97.55

97.56

Average

97.82

98.32

97.82

98.06

98.06

Epoch − 2500

DDoS Attack

99.40

99.10

99.40

99.25

99.25

Normal

98.50

98.99

98.50

98.75

98.75

Average

98.95

99.05

98.95

99.00

99.00

Epoch − 3000

DDoS Attack

99.10

98.22

99.10

98.66

98.66

Normal

97.00

98.48

97.00

97.73

97.74

Average

98.05

98.35

98.05

98.19

98.20