Research Article
Improving the Accuracy of Network Intrusion Detection with Causal Machine Learning
Table 3
Description of features in the NSL-KDD dataset.
| Feature name | Description |
| Protocol type | Type of protocol (TCP, UDP...) | Source bytes | No. of B from source to destination | Wrong fragments | No. of wrong fragments | Urgent | No. of urgent packets | Error rate | % of connections with SYN errors | Failed logins | No. of unsuccessful attempts at login | Logged in | If logged in, 1/if login failed, 0 | Same srv rate | % of connections to the same service | Count | No. of connections to the same host as the current connection at a given interval | Dst host srv rate | % of connections to different hosts on the same system | # Root | No. of root accesses | # Shells | No. of active command interpreters | Dst host srv serror rate | % of connections to a host and specified service with an S0 error |
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