Table 6 Cyberattack detection of ICSSADL-MHOA method on Edge-IIoT dataset.

From: Artificial intelligence-driven cybersecurity system for internet of things using self-attention deep learning and metaheuristic algorithms

Class Labels

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

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

\({\varvec{S}}{\varvec{e}}{\varvec{n}}{{\varvec{s}}}_{{\varvec{y}}}\)

\({\varvec{S}}{\varvec{p}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{y}}}\)

\({{\varvec{F}}1}_{{\varvec{s}}{\varvec{c}}{\varvec{o}}{\varvec{r}}{\varvec{e}}}\)

TRPH (70%)

Normal

99.34

96.63

96.00

99.67

96.31

DDoS-UDP

99.23

95.22

96.15

99.53

95.68

DDoS-ICMP

99.32

95.55

96.99

99.55

96.26

SQL injection

99.36

95.85

96.96

99.59

96.40

DDoS-TCP

99.21

95.34

95.88

99.54

95.61

Password

99.43

96.65

96.98

99.67

96.81

DDoS-HTTP

99.26

95.49

96.25

99.55

95.87

Uploading

99.36

96.46

96.43

99.65

96.44

Backdoor

99.31

96.50

95.64

99.66

96.07

XSS

99.30

96.09

96.09

99.61

96.09

Ransomware

99.33

95.45

92.06

99.75

93.73

Fingerpriniting

99.51

96.62

94.04

99.81

95.31

Average

99.33

95.99

95.79

99.63

95.88

TSPH (30%)

Normal

99.29

96.32

95.68

99.64

96.00

DDoS-UDP

99.38

96.89

96.25

99.69

96.57

DDoS-ICMP

99.42

96.44

96.96

99.65

96.70

SQL injection

99.35

96.09

96.84

99.60

96.46

DDoS-TCP

99.32

95.77

96.49

99.59

96.13

Password

99.55

97.51

97.57

99.75

97.54

DDoS-HTTP

99.27

95.68

96.07

99.58

95.88

Uploading

99.30

96.25

95.93

99.63

96.09

Backdoor

99.33

96.23

96.42

99.62

96.33

XSS

99.42

96.36

97.01

99.65

96.68

Ransomware

99.41

94.70

93.71

99.72

94.20

Fingerpriniting

99.39

95.14

93.35

99.73

94.24

Average

99.37

96.12

96.02

99.65

96.07