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Table 4 Attack sample detection comparison

From: A new intrusion detection and alarm correlation technology based on neural network

Type of data

Number of Neurs

15 (%)

17 (%)

20 (%)

22 (%)

25 (%)

Neptune

97.50

95.50

97.50

96.00

98.25

Process table

39.04

36.12

38.47

30.08

43.10

Back

86.50

76.34

81.86

70.25

87.52

APache2

90.40

62.20

84.93

59.53

95.95

Teardrop

76.67

44.44

68.89

38.895

78.89

Warezmaster

53.48

48.37

52.56

46.51

59.07

Sshprocesstable

62.47

53.11

60.22

50.45

65.08

POD

99.49

98.46

99.32

97.95

99.49

Smurf

31.25

34.82

32.14

39.29

23.21

Mailbomb

26.50

18.50

22.50

16.00

28.50

Udpstorm

0

0

0

0

0

Selfping

0

0

0

0

0

Warezsilent

0

0

0

0

0

Syslogd

0

0

0

0

0

Crashiis

0

0

0

0

0

Land

0

0

0

0

0

Dosnuke

0

0

0

0

0

  1. The false positive rate of the normal data samples is shown in Fig. 5