Research Article
Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification
Table 21
AUC results of WeChat audio traffic dataset.
| Pkts # | Bayes Net | N/Bayes | SMO | Adaboost | Bagging | OneR | Part | Hoeffbing | C4.5 | R/forest | Average |
| 2 | 0.660 | 0.660 | 0.750 | 0.750 | 0.660 | 0.660 | 0.660 | 0.660 | 0.660 | 0.750 | 0.687 | 3 | 0.611 | 0.777 | 0.666 | 0.777 | 0.611 | 0.611 | 0.666 | 0.666 | 0.666 | 0.777 | 0.682 | 4 | 0.666 | 0.833 | 0.733 | 0.833 | 0.666 | 0.666 | 0.791 | 0.833 | 0.791 | 1.000 | 0.781 | 5 | 0.343 | 0.833 | 0.416 | 0.733 | 0.833 | 0.642 | 0.766 | 0.675 | 0.766 | 1.000 | 0.700 | 6 | 0.666 | 0.888 | 0.780 | 0.833 | 0.833 | 1.00 | 0.75 | 0.777 | 0.750 | 1.000 | 0.827 | 7 | 0.785 | 0.880 | 0.738 | 0.833 | 0.833 | 0.642 | 0.833 | 0.904 | 0.833 | 1.000 | 0.828 | 8 | 0.895 | 0.854 | 0.854 | 0.833 | 0.875 | 0.666 | 0.958 | 0.895 | 0.958 | 1.000 | 0.878 | 9 | 0.833 | 0.851 | 0.685 | 0.833 | 0.814 | 0.648 | 0.962 | 0.814 | 0.962 | 1.000 | 0.840 | 10 | 0.90 | 0.816 | 0.850 | 0.833 | 0.883 | 0.666 | 1.00 | 0.900 | 1.00 | 1.000 | 0.884 | 11 | 0.757 | 0.757 | 0.803 | 0.803 | 0.803 | 0.666 | 0.924 | 0.757 | 0.924 | 0.969 | 0.816 | 12 | 0.750 | 0.882 | 0.805 | 0.805 | 0.833 | 0.805 | 0.902 | 0.875 | 0.902 | 0.972 | 0.853 | 13 | 0.756 | 0.923 | 0.705 | 0.807 | 0.974 | 0.807 | 0.961 | 0.884 | 0.987 | 0.974 | 0.877 | 14 | 0.869 | 0.916 | 0.809 | 0.809 | 0.908 | 0.809 | 0.964 | 0.892 | 0.988 | 0.976 | 0.894 | 15 | 0.866 | 0.855 | 0.755 | 0.811 | 0.944 | 0.822 | 0.944 | 0.877 | 0.977 | 0.988 | 0.883 | 16 | 0.916 | 0.885 | 0.833 | 0.822 | 0.916 | 0.822 | 0.984 | 0.895 | 0.979 | 0.989 | 0.904 | 17 | 0.847 | 0.852 | 0.416 | 0.794 | 0.872 | 0.882 | 0.960 | 0.892 | 0.940 | 0.960 | 0.841 | 18 | 0.898 | 0.861 | 0.842 | 0.796 | 0.870 | 0.888 | 0.944 | 0.851 | 0.944 | 0.953 | 0.884 | 19 | 0.868 | 0.859 | 0.692 | 0.824 | 0.947 | 0.850 | 0.982 | 0.959 | 0.982 | 0.973 | 0.893 | 20 | 0.825 | 0.850 | 0.808 | 0.841 | 0.908 | 0.883 | 0.933 | 0.850 | 0.933 | 0.975 | 0.880 |
|
|