Table 3 Cybersecurity detection of IHDLM-CADEFST model on Edge-IIoT dataset.

From: An intelligent deep representation learning with enhanced feature selection approach for cyberattack detection in internet of things enabled cloud environment

 

Class labels

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

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

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

\(\:{{F}1}_{{S}{c}{o}{r}{e}}\)

\(\:{M}{C}{C}\)

Kappa

Edge-IIoT dataset

TRPHE (70%)

 

Normal

99.34

95.09

97.04

96.06

95.70

95.77

DDoS-UDP

99.00

94.94

92.90

93.91

93.37

93.42

DDoS-ICMP

99.10

94.41

94.55

94.48

93.99

94.06

SQL injection

99.19

94.81

95.53

95.17

94.73

94.79

DDoS-TCP

99.12

94.37

94.96

94.66

94.18

94.24

Password

99.21

95.88

94.66

95.27

94.84

94.92

DDoS-HTTP

99.17

94.81

95.43

95.12

94.66

94.73

Uploading

99.13

95.23

94.17

94.70

94.22

94.28

Backdoor

99.23

95.34

95.30

95.32

94.90

94.96

XSS

99.28

95.44

95.98

95.71

95.31

95.38

Ransomware

99.30

96.09

95.54

95.81

95.43

95.50

Fingerprinting

99.19

95.07

95.38

95.23

94.78

94.85

Average

99.19

95.12

95.12

95.12

94.68

94.74

TSPHE (30%)

 

Normal

99.15

93.74

96.23

94.97

94.52

94.60

DDoS-UDP

99.03

95.33

92.90

94.10

93.58

93.65

DDoS-ICMP

99.07

95.48

93.86

94.66

94.16

94.23

SQL injection

99.08

94.13

94.87

94.50

94.00

94.06

DDoS-TCP

99.00

93.36

94.99

94.17

93.63

93.69

Password

99.06

95.26

93.21

94.23

93.72

93.80

DDoS-HTTP

99.08

93.56

94.98

94.26

93.77

93.85

Uploading

98.97

94.04

93.94

93.99

93.43

93.50

Backdoor

99.26

96.63

94.78

95.69

95.29

95.35

XSS

99.33

95.63

96.28

95.96

95.59

95.65

Ransomware

99.40

96.94

95.74

96.34

96.01

96.06

Fingerprinting

99.26

94.18

96.61

95.38

94.99

95.05

Average

99.14

94.86

94.87

94.85

94.39

94.46