From: Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Attack categories
Count
% (percentage)
Normal
93000
36.09
Generic
58871
22.85
Exploits
44525
17.28
Fuzzers
24246
9.41
DoS
16353
6.35
Reconnaissance
13987
5.43
Analysis
2677
1.04
Backdoor
2329
0.90
Shellcode
1511
0.59
Worms
174
0.07
Total
257673
100