Research Article
A Modified Gray Wolf Optimizer-Based Negative Selection Algorithm for Network Anomaly Detection
Table 7
Experimental results of MDGWO-NSA algorithm compared with other algorithms on the iris dataset.
| Training data | Algorithm | DR (%) | FAR (%) | Dn | DTT (s) | Test (s) | Mean | SD | Mean | SD | Mean | SD | Mean | SD | Mean | SD |
| Setosa (50%) | RNSA | 96.5 | 2.70 | 2.0 | 1.63 | 7393.2 | 688.9 | 7.620 | 2.120 | 7.665 | 2.120 | V-detector | 100.0 | 0.00 | 3.2 | 1.69 | 3653.1 | 836.5 | 1.230 | 1.050 | 1.240 | 1.030 | GF-RNSA | 98.0 | 0.79 | 8.6 | 2.90 | 6100.0 | 0.00 | 0.045 | 0.004 | 0.114 | 0.012 | BIORV-NSA | 100.0 | 0.00 | 4.0 | 0.00 | 500.0 | 0.0 | 1.475 | 0.013 | 1.740 | 0.184 | HD-NSA | 100.0 | 0.0 | 3.8 | 2.90 | 140.3 | 17.3 | 0.169 | 0.003 | 0.0183 | 0.004 | MDGWO-NSA | 100.0 | 0.00 | 3.2 | 0.0 | 161.4 | 24.4 | 0.830 | 0.010 | 0.110 | 0.008 |
| Setosa (100%) | RNSA | 97.20 | 1.80 | 0.0 | 0.00 | 7450.3 | 393.0 | 7.612 | 1.262 | 7.660 | 1.260 | V-detector | 100.0 | 0.00 | 0.0 | 0.00 | 3273.9 | 1016.3 | 1.020 | 1.120 | 1.033 | 1.210 | GF-RNSA | 99.30 | 0.52 | 1.6 | 0.51 | 6150.0 | 0.0 | 0.056 | 0.011 | 0.134 | 0.015 | BIORV-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 500.0 | 0.0 | 1.580 | 0.051 | 1.840 | 0.114 | HD-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 164.0 | 0.0 | 0.023 | 0.006 | 0.025 | 0.004 | MDGWO-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 170.0 | 0.0 | 0.036 | 0.017 | 0.041 | 0.020 |
| Versicolor (50%) | RNSA | 86.7 | 4.59 | 2.6 | 2.99 | 8584.9 | 516.0 | 10.580 | 1.780 | 10.640 | 1.780 | V-detector | 96.5 | 1.70 | 8.6 | 3.90 | 3568.4 | 1320.9 | 1.660 | 1.060 | 1.680 | 1.060 | GF-RNSA | 97.3 | 1.20 | 11.8 | 4.20 | 6100.0 | 0.0 | 0.011 | 0.004 | 0.039 | 0.007 | BIORV-NSA | 98.0 | 0.00 | 10.0 | 0.00 | 500.0 | 0.0 | 1.550 | 0.142 | 1.950 | 0.096 | HD-NSA | 98.7 | 5.60 | 4.0 | 3.90 | 287.7 | 22.1 | 0.050 | 0.012 | 0.053 | 0.013 | MDGWO-NSA | 99.3 | 0.00 | 3.35 | 0.00 | 263.0 | 17.0 | 0.042 | 0.050 | 0.081 | 0.009 |
| Versicolor (100%) | RNSA | 82.8 | 3.85 | 0.0 | 0.00 | 8226.1 | 777.2 | 9.550 | 2.440 | 9.618 | 2.450 | V-detector | 93.1 | 1.29 | 0.0 | 0.00 | 3568.0 | 1578.5 | 1.290 | 0.890 | 1.310 | 0.900 | GF-RNSA | 94.5 | 1.25 | 2.1 | 0.13 | 6150.0 | 0.0 | 0.105 | 0.006 | 0.152 | 0.018 | BIORV-NSA | 94.0 | 0.00 | 0.0 | 0.00 | 500.0 | 0.0 | 1.690 | 0.113 | 2.020 | 0.201 | HD-NSA | 99.0 | 0.00 | 0.0 | 0.00 | 404.0 | 0.0 | 0.054 | 0.008 | 0.057 | 0.009 | MDGWO-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 341.0 | 0.0 | 0.049 | 0.020 | 0.051 | 0.007 |
| Virginica (50%) | RNSA | 87.0 | 4.85 | 7.2 | 4.00 | 8630.8 | 1019.5 | 10.830 | 3.210 | 10.890 | 3.220 | V-detector | 96.4 | 0.80 | 10.0 | 3.80 | 2822.3 | 1127.0 | 0.720 | 0.460 | 0.730 | 0.460 | GF-RNSA | 97.6 | 1.10 | 18.8 | 5.30 | 9900.0 | 0.0 | 0.018 | 0.006 | 0.047 | 0.010 | BIORV-NSA | 98.0 | 0.00 | 12.0 | 0.00 | 500.0 | 0.0 | 1.550 | 0.067 | 1.820 | 0.141 | HD-NSA | 99.0 | 0.00 | 8.2 | 3.10 | 396.8 | 14.8 | 0.058 | 0.009 | 0.061 | 0.010 | MDGWO-NSA | 99.5 | 0.00 | 7.0 | 3.70 | 406.0 | 40.0 | 0.067 | 0.040 | 0.072 | 0.030 |
| Virginica (100%) | RNSA | 86.4 | 2.10 | 0.0 | 0.00 | 9688.5 | 1587.0 | 14.270 | 6.440 | 14.340 | 6.440 | V-detector | 95.1 | 0.70 | 0.0 | 0.00 | 2356.5 | 1042.6 | 0.500 | 0.440 | 0.520 | 0.450 | GF-RNSA | 97.8 | 1.50 | 1.8 | 0.22 | 9950.0 | 0.0 | 0.025 | 0.004 | 0.053 | 0.009 | BIORV-NSA | 96.0 | 0.00 | 0.0 | 0.00 | 500.0 | 0.0 | 1.710 | 0.092 | 2.010 | 0.154 | HD-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 431.0 | 0.0 | 0.054 | 0.010 | 0.057 | 0.011 | MDGWO-NSA | 100.0 | 0.00 | 0.0 | 0.00 | 494.0 | 0.0 | 0.059 | 0.026 | 0.063 | 0.030 |
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