Research Article
An Evolutionary Computation Based Feature Selection Method for Intrusion Detection
Table 5
Classification accuracies of thresholds of SaDE in training sets in 4 datasets.
| Dataset | 0.6 | 0.7 | 0.8 | 0.5 | Mean | Std | Mean | Std | Mean | Std | Mean | Std |
| DataNum1 | 99.68 | 0.18 | 99.68 | 0.19 | 99.66 | 0.21 | 99.68 | 0.13 |
| T-Sig | - | | - | | - | | | | DataNum2 | 99.70 | 0.01 | 99.71 | 0.02 | 99.67 | 0.01 | 99.71 | 0.01 | T-Sig | + | | - | | + | | | | DataNum3 | 99.68 | 0.01 | 99.68 | 0.01 | 99.66 | 0.02 | 99.68 | 0.01 | T-Sig | - | | - | | + | | | | DataNum4 | 99.82 | 0.01 | 99.82 | 0.01 | 99.81 | 0.02 | 99.82 | 0.01 | T-Sig | - | | - | | + | | | |
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