Research Article
Intrusion Detection in Industrial Internet of Things Network-Based on Deep Learning Model with Rule-Based Feature Selection
Table 3
Detection rates for NSL-KDD and UNSW-NB15 dataset classes.
| Dataset | DoS | Normal | Backdoor | Worm | Shellcode | Probe | Exploits | U2R | Salicode | Analysis | | Fuzzer | Generic | Reconnaissance |
| NSL-KDD | 99.2% | 99.7% | — | — | — | 99.0% | — | 75.5% | — | — | 94.8% | — | — | — | UNSW-NB15 | 97.3% | 99.6% | 95.2% | 81.7% | 90.2% | — | 98.0% | — | 90.3% | 92.3% | | 67.1% | 99.8% | 92.0% |
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