Research Article
Network Traffic Anomaly Detection Model Based on Feature Reduction and Bidirectional LSTM Neural Network Optimization
Table 5
The optimization results when the dimension is 100.
| | PSOBSA | FOPSO | HPSO | ASPSO | OLPSO | GEPSO | HMaPSO | APPSO |
| | F1 | 6.25E-04 | 8.81E + 01 | 3.41E + 01 | 4.26E + 01 | 7.78E-02 | 4.28E-01 | 2.67E + 02 | 6.99E-05 | | F2 | 8.42E-01 | 1.10E + 01 | 1.78E + 03 | 1.08E + 03 | 8.01E + 00 | 3.59E + 01 | 5.68E + 02 | 7.72E-01 | | F3 | 4.74E + 01 | 3.12E + 03 | 4.78E + 02 | 8.62E + 01 | 1.98E + 02 | 1.78E + 02 | 1.48E + 03 | 2.90E + 00 | | F4 | 9.12E + 01 | 4.81E + 02 | 8.90E + 02 | 2.48E + 02 | 3.46E + 01 | 1.91E + 02 | 8.72E + 02 | 6.42E + 00 | | F5 | 2.62E + 00 | 1.02E + 02 | 4.62E + 01 | 1.89E-01 | 4.54E + 00 | 1.80E + 01 | 2.55E + 02 | 1.13E-01 | | F6 | 3.02E-01 | 3.29E-01 | 3.14E + 02 | 1.21E + 02 | 1.31E + 00 | 9.67E + 01 | 9.47E + 02 | 1.76E-02 | | F7 | 2.43E + 02 | 3.70E + 05 | 3.03E + 04 | 1.13E + 02 | 1.08E + 02 | 2.39E + 02 | 1.60E + 06 | 1.01E + 01 | | F8 | 2.61E-01 | 5.49E + 00 | 1.55E + 01 | 1.24E + 01 | 1.32E + 01 | 9.28E + 00 | 2.04E + 01 | 3.18E-02 |
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Bold values signify the result is the optimal value for the corresponding function.
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