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Table 1 Classification accuracy in different classifiers at SNR=30,0 dB

From: Identification and authentication for wireless transmission security based on RF-DNA fingerprint

Actual class

M1 (%)

M2 (%)

M3 (%)

M4 (%)

Accuracy %)

 

Confusion matrix (SNR=30)

 

Classifer: MDA

     

M1

90.75

0.00

9.25

0.00

 

M2

0.00

99.50

0.50

0.00

94.50

M3

12.25

0.00

87.75

0.00

 

M4

0.00

0.00

0.00

100.00

 

Classifer: SVM

     

M1

89.50

0.00

10.50

0.00

 

M2

0.00

99.50

0.50

0.00

94.44

M3

10.75

0.25

89.00

0.00

 

M4

0.25

0.00

0.00

99.75

 

Classifer: LR

     

M1

82.25

0.00

17.00

0.75

 

M2

0.00

99.25

0.75

0.00

89.19

M3

23.50

0.75

75.75

0.00

 

M4

0.50

0.00

0.00

99.50

 
 

Confusion matrix (SNR=0)

 

Classifer: MDA

     

M1

42.00

11.75

31.50

14.75

 

M2

11.00

70.75

16.50

1.75

54.63

M3

31.25

20.5

37.50

10.75

 

M4

18.50

0.75

12.50

68.25

 

Classifer: SVM

     

M1

33.25

12.00

35.00

19.75

 

M2

10.25

67.25

19.00

3.50

48.75

M3

26.75

19.75

37.75

15.75

 

M4

20.00

2.75

20.50

56.75

 

Classifer: LR

     

M1

19.00

19.25

23.50

38.25

 

M2

11.75

60.00

17.25

11.00

40.25

M3

20.50

25.50

24.00

30.00

 

M4

12.00

11.75

18.25

58.00