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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