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Table 11 Confusion matrix for UNSW-NB 15

From: Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods

Phase

Feature

Class

N

F

A

B

D

E

G

R

SC

W

Class

N

F

A

B

D

E

G

R

SC

W

Training

N

62,456

0

4

0

1

5

0

0

1

0

N

43,453

0

0

0

1

0

0

6

1

0

F

1

44,532

1

0

0

0

1

0

0

0

F

1

24,526

0

1

0

1

1

0

0

5

A

0

3

25,321

3

0

0

0

0

0

0

A

0

0

19,834

3

0

0

0

0

0

0

B

0

9

1

13,145

0

4

0

1

0

0

B

0

1

1

17,739

0

4

0

1

0

0

D

0

0

4

0

12,442

6

3

3

0

0

D

0

0

4

0

7349

0

3

0

4

0

E

7

9

0

3

8

9122

0

0

0

0

E

5

3

0

3

0

4673

0

0

0

3

G

0

0

0

1

0

0

7823

0

0

0

G

0

0

0

1

0

0

3865

5

0

0

R

0

5

0

0

0

3

1

6632

0

1

R

0

4

0

0

7

3

1

4423

3

1

SC

0

0

0

0

0

0

6

0

3074

0

SC

0

0

3

0

0

7

3

1

3074

0

W

3

0

1

1

0

4

0

0

4

1845

W

1

0

3

0

4

4

1

1

4

2345

Validation

N

13,432

0

5

0

1

3

0

0

1

0

N

13,432

0

5

0

1

3

3

0

0

1

F

1

44,532

1

0

0

0

1

0

0

0

F

1

44,532

1

0

0

0

0

1

0

0

A

0

3

25,321

3

0

0

0

0

0

0

A

0

3

25,321

3

0

0

0

0

0

0

B

0

9

1

13,145

0

4

0

1

0

0

B

0

9

1

13,145

0

4

4

0

1

0

D

0

0

4

0

12,442

6

3

3

0

0

D

0

0

4

0

12,442

6

6

3

3

0

E

7

9

0

3

8

9122

0

0

0

0

E

7

9

0

3

8

9122

0

0

0

0

G

0

0

0

1

0

0

7823

0

0

0

G

0

0

0

1

0

0

7823

0

0

0

R

0

5

0

0

0

3

1

6632

0

1

R

0

5

0

0

0

3

1

6632

0

1

SC

0

0

0

0

0

0

6

0

3074

0

SC

0

0

0

0

0

0

6

0

3074

0

W

3

0

1

1

0

4

0

0

4

3642

W

3

0

1

1

0

4

0

0

4

3642

Testing

N

11,432

4

0

1

1

1

0

3

1

1

N

11,432

4

0

1

1

1

0

3

1

1

F

4

14,562

1

0

0

0

1

0

0

0

F

4

14,562

1

0

0

0

1

0

0

0

A

0

0

6843

3

0

0

0

0

0

0

A

0

0

6843

3

0

0

0

0

0

0

B

1

0

1

13,145

0

4

0

1

0

0

B

1

0

1

13,145

0

4

0

1

0

0

D

0

0

4

0

12,442

6

3

3

0

0

D

0

0

4

0

12,442

6

3

3

0

0

E

0

1

0

3

8

1267

0

0

0

0

E

0

1

0

3

8

1267

0

0

0

0

G

5

0

0

1

0

0

445

0

0

0

G

5

0

0

1

0

0

445

0

0

0

R

0

1

0

0

0

3

1

665

0

1

R

0

1

0

0

0

3

1

665

0

1

SC

0

1

0

0

6

0

6

0

1457

0

SC

0

1

0

0

6

0

6

0

1457

0

W

1

0

0

3

0

4

0

0

4

994

W

1

0

0

3

0

4

0

0

4

994

  1. If we denote for phases as: N = Normal, B = Bot, BF = Brute Force, DD = DDoS, DGE = DoS Golden-Eye, DH = DoS Hulk, DSHT = DoS SlowHttpTest, DS = DoS Slowloris, FP = FTP patator, HB = Heart Bleed, I = Infilteration, PS = PortScan, S = SQL SP = SSH Patator, X = XSS