Research Article
A Deep Random Forest Model on Spark for Network Intrusion Detection
Table 3
Information of the experimental UNSW-NB15.
| Class | Train set | Test set |
| Normal | 56000 | 37000 | Analysis | 2000 | 677 | Backdoor | 1746 | 583 | DoS | 12264 | 4089 | Exploits | 33393 | 11132 | Fuzzers | 18184 | 6062 | Generic | 40000 | 18871 | Reconnaissance | 10491 | 3496 | Shellcode | 1133 | 378 | Worms | 130 | 44 | Total counts | 175341 | 82332 |
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