Research Article
Intrusion Detection in Industrial Internet of Things Network-Based on Deep Learning Model with Rule-Based Feature Selection
Table 5
For the NSL-KDD dataset, the results of the proposed model have been compared with nine other classifiers.
| Technique | Detection rate | FPR |
| F-SVM [95] | 92.2% | 8.7% | CVT [96] | 95.3% | 5.6% | DMM [91] | 97.2% | 2.4% | TANN [97] | 91.1% | 9.4% | DBN [98] | 95.1% | 4.5% | RNN [52] | 73% | 3.6% | DNN [81] | 76% | 15% | Ensemble-DNN [99] | 98% | 14.7% | ADS-DL [11] | 99% | 1.8% | Proposed model | 98.9 | 1.1% |
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