Table 2 KDD99 dataset attributes
From: Intrusion detection model using machine learning algorithm on Big Data environment
No | Attribute name | No | Attribute name |
|---|---|---|---|
1 | Duration | 22 | Is_guest_login |
2 | Protocol_type | 23 | Count |
3 | Service | 24 | Serror_rate |
4 | Src_bytes | 25 | Rerror_rate |
5 | Dst_bytes | 26 | Same_srv_rate |
6 | Flag | 27 | Diff_srv_rate |
7 | Land | 28 | Srv_count |
8 | Wrong_fragment | 29 | Srv_serror_rate |
9 | Urgent | 30 | Srv_rerror_rate |
10 | Hot | 31 | Srv_diff_host_rate |
11 | Num_failed_logins | 32 | Dst_host_count |
12 | Logged_in | 33 | Dst_host_srv_count |
13 | Num_compromised | 34 | Dst_host_same_srv_rate |
14 | Root_shell | 35 | Dst_host_diff_srv_rate |
15 | Su_attempted | 36 | Dst_host_same_src_port_rate |
16 | Num_root | 37 | Dst_host_srv_diff_host_rate |
17 | Num_file_creations | 38 | Dst_host_serror_rate |
18 | Num_shells | 39 | Dst_host_srv_serror_rate |
19 | Num_access_files | 40 | Dst_host_rerror_rate |
20 | Num_outbound_cmds | 41 | Dst_host_srv_rerror_rate |
21 | Is_hot_login | 42 | class |