Table 3 Intrusion detection of OMHSA-IDPRGO model on edge-IIoT dataset.

From: Advances in IoT networks using privacy-preserving techniques with optimized multi-head self-attention model for intelligent threat detection based on plant rhizome growth optimization

Class labels

\(Accu_{y}\)

\(\Pr ec_{n}\)

\({\text{Re}} ca_{l}\)

\(F1_{Score}\)

\(G_{Measure}\)

TRPHE (70%)

 Normal

99.10

94.00

95.34

94.67

94.67

 DDoS-UDP

99.09

95.47

93.43

94.44

94.44

 DDoS-ICMP

99.09

95.05

93.85

94.44

94.45

 SQL injection

99.07

94.92

93.72

94.32

94.32

 DDoS-TCP

98.94

93.25

94.05

93.65

93.65

 Password

99.08

94.55

94.33

94.44

94.44

 DDoS-HTTP

99.24

95.36

95.36

95.36

95.36

 Uploading

98.99

93.97

94.02

94.00

94.00

 Backdoor

99.15

94.15

95.86

94.99

95.00

 XSS

99.10

94.54

95.06

94.80

94.80

 Ransomware

99.21

95.48

94.81

95.14

95.14

 Fingerprinting

99.28

95.32

96.08

95.69

95.69

Average

99.11

94.67

94.66

94.66

94.66

 TSPHE (30%)

 Normal

99.09

93.99

95.01

94.50

94.50

 DDoS-UDP

99.14

94.91

95.03

94.97

94.97

 DDoS-ICMP

99.02

95.78

92.51

94.12

94.13

 SQL injection

98.94

93.50

94.11

93.80

93.80

 DDoS-TCP

98.98

92.86

95.08

93.96

93.96

 Password

98.90

94.80

91.91

93.33

93.34

 DDoS-HTTP

99.22

95.60

95.35

95.48

95.48

 Uploading

98.87

92.62

93.39

93.00

93.00

 Backdoor

99.03

92.66

95.80

94.20

94.22

 XSS

99.11

94.52

93.97

94.24

94.24

 Ransomware

99.21

95.89

95.03

95.46

95.46

 Fingerprinting

99.23

95.41

95.28

95.35

95.35

Average

99.06

94.38

94.37

94.37

94.37