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Advances, Systems and Applications

Table 2 Description of neural network for the current problem

From: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment

PointType

X

Y

V4

scale

0

63.0303

Bias

scale

0

62.0606

Active Mean

scale

0

61.0909

Down/Up Ratio

scale

0

60.1212

Flow IAT Std

scale

0

59.1515

FwdPkts/s

scale

0

58.1818

TotLenBwdPkts

scale

0

57.2121

SubflowFwdByts

scale

0

56.2424

Tot FwdPkts

scale

0

55.2727

Bwd IAT Min

scale

0

54.303

Fwd Act Data Pkts

scale

0

53.3333

Pkt Len Var

scale

0

52.3636

Active Std

scale

0

51.3939

Bwd IAT Std

scale

0

50.4242

FwdPkt Len Std

scale

0

49.4545

FwdPkt Len Max

scale

0

48.4848

SubflowBwdByts

scale

0

47.5152

Fwd Header Len

scale

0

46.5455

SubflowBwdPkts

scale

0

45.5758

TotLenFwdPkts

scale

0

44.6061

CWE Flag Count

scale

0

43.6364

Flow IAT Min

scale

0

42.6667

Pkt Size Avg

scale

0

41.697

Flow IAT Mean

scale

0

40.7273

FwdPkt Len Min

scale

0

39.7576

FwdPkt Len Mean

scale

0

38.7879

FIN Flag Cnt

scale

0

37.8182

Fwd IAT Std

scale

0

36.8485

Active Max

scale

0

35.8788

Bwd PSH Flags

scale

0

34.9091

Flow Pkts/s

scale

0

33.9394

Flow IAT Max

scale

0

32.9697

Idle Min

scale

0

32

BwdPkt Len Min

scale

0

31.0303

SubflowFwdPkts

scale

0

30.0606

Idle Std

scale

0

29.0909

RST Flag Cnt

scale

0

28.1212

Bwd Header Len

scale

0

27.1515

InitBwd Win Byts

scale

0

26.1818

Pkt Len Min

scale

0

25.2121

Idle Mean

scale

0

24.2424

Bwd IAT Tot

scale

0

23.2727

Fwd IAT Min

scale

0

22.303

Bwd IAT Max

scale

0

21.3333

Active Min

scale

0

20.3636

Bwd IAT Mean

scale

0

19.3939

Fwd IAT Max

scale

0

18.4242

PSH Flag Cnt

scale

0

17.4545

Flow Byts/s

scale

0

16.4848

BwdPkts/s

scale

0

15.5152

ECE Flag Cnt

scale

0

14.5455

Idle Max

scale

0

13.5758

FwdSeg Size Avg

scale

0

12.6061

Pkt Len Max

scale

0

11.6364

Tot BwdPkts

scale

0

10.6667

Pkt Len Std

scale

0

9.697

ACK Flag Cnt

scale

0

8.7273

Flow Duration

scale

0

7.7576

BwdSeg Size Avg

scale

0

6.7879

Fwd IAT Mean

scale

0

5.8182

SYN Flag Cnt

scale

0

4.8485

BwdPkt Len Std

scale

0

3.8788

Pkt Len Mean

scale

0

2.9091

BwdPkt Len Mean

scale

0

1.9394

BwdPkt Len Max

scale

0

0.9697

Fwd IAT Tot

scale

1

60.6316

Bias

scale

1

57.2632

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

53.8947

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

50.5263

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

47.1579

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

43.7895

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

40.4211

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

37.0526

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

33.6842

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

30.3158

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

26.9474

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

23.5789

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

20.2105

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

16.8421

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

13.4737

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

10.1053

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

6.7368

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

scale

1

3.3684

Hidden layer activation: Hyperbolic tangent Output layer activation: Softmax

set

2

32

Label