Research Article
Application of a New Feature Generation Algorithm in Intrusion Detection System
Table 9
Subclass experiments on the UNSW_NB15 dataset.
| | Precision | Recall | F1-score | Support |
| | Normal | 1.0000 | 1.0000 | 1.0000 | 56000 | | Reconnaissance | 1.0000 | 1.0000 | 1.0000 | 10491 | | Backdoor | 1.0000 | 1.0000 | 1.0000 | 1746 | | DoS | 1.0000 | 1.0000 | 1.0000 | 12264 | | Exploits | 1.0000 | 1.0000 | 1.0000 | 33393 | | Analysis | 1.0000 | 1.0000 | 1.0000 | 2000 | | Fuzzers | 1.0000 | 1.0000 | 1.0000 | 18184 | | Worms | 1.0000 | 1.0000 | 1.0000 | 130 | | Shellcode | 1.0000 | 1.0000 | 1.0000 | 1133 | | Generic | 1.0000 | 1.0000 | 1.0000 | 40000 | | Accuracy | | | 1.0000 | 175341 | | Macro avg. | 1.0000 | 1.0000 | 1.0000 | 175341 | | Weighted avg. | 1.0000 | 1.0000 | 1.0000 | 175341 |
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