Research Article
FusionTC: Encrypted App Traffic Classification Using Decision-Level Multimodal Fusion Learning of Flow Sequence
Table 2
Comparison with the baseline approaches.
| | Apps | Deep FP | LSTM FP | AppScanner | ET-BERT | FusionTC | | Prec. | Recall | | Prec. | Recall | | Prec. | Recall | | Prec. | Recall | | Prec. | Recall | |
| | Baidu Search | 0.852 | 0.877 | 0.864 | 0.724 | 0.774 | 0.748 | 0.913 | 0.869 | 0.890 | 0.992 | 1.000 | 0.996 | 0.963 | 0.966 | 0.964 | | Ivwen | 0.336 | 0.501 | 0.402 | 0.300 | 0.464 | 0.365 | 0.532 | 0.751 | 0.623 | 0.848 | 0.975 | 0.907 | 0.810 | 0.758 | 0.783 | | Suning Ebuy | 0.725 | 0.660 | 0.691 | 0.442 | 0.575 | 0.499 | 0.753 | 0.746 | 0.749 | 0.956 | 0.908 | 0.932 | 0.920 | 0.927 | 0.923 | | Zhihu | 0.665 | 0.708 | 0.686 | 0.578 | 0.645 | 0.610 | 0.797 | 0.887 | 0.840 | 0.943 | 0.825 | 0.880 | 0.935 | 0.923 | 0.929 | | CloudMusic | 0.689 | 0.833 | 0.754 | 0.601 | 0.685 | 0.641 | 0.836 | 0.894 | 0.864 | 0.967 | 0.992 | 0.979 | 0.932 | 0.920 | 0.926 | | Sohu News | 0.821 | 0.771 | 0.795 | 0.573 | 0.751 | 0.650 | 0.940 | 0.867 | 0.902 | 0.912 | 0.867 | 0.889 | 0.963 | 0.955 | 0.959 | | Kmxs reader | 0.447 | 0.559 | 0.497 | 0.114 | 0.275 | 0.161 | 0.597 | 0.806 | 0.686 | 0.754 | 0.842 | 0.795 | 0.885 | 0.860 | 0.873 | | Taobao trip | 0.551 | 0.660 | 0.601 | 0.519 | 0.597 | 0.555 | 0.729 | 0.785 | 0.756 | 1.000 | 1.000 | 1.000 | 0.846 | 0.844 | 0.845 | | Meituan | 0.746 | 0.826 | 0.784 | 0.592 | 0.637 | 0.614 | 0.756 | 0.931 | 0.834 | 0.886 | 0.908 | 0.897 | 0.976 | 0.933 | 0.954 | | EastMoney | 0.732 | 0.806 | 0.767 | 0.720 | 0.406 | 0.519 | 0.833 | 0.789 | 0.811 | 1.000 | 1.000 | 1.000 | 0.936 | 0.962 | 0.948 | | 58 | 0.837 | 0.748 | 0.790 | 0.754 | 0.730 | 0.742 | 0.874 | 0.814 | 0.843 | 0.810 | 0.675 | 0.736 | 0.920 | 0.939 | 0.929 | | Baidu Map | 0.878 | 0.885 | 0.881 | 0.887 | 0.691 | 0.777 | 0.924 | 0.909 | 0.916 | 0.933 | 0.817 | 0.871 | 0.965 | 0.958 | 0.962 | | Autohome | 0.717 | 0.738 | 0.728 | 0.213 | 0.383 | 0.274 | 0.613 | 0.858 | 0.715 | 0.921 | 0.975 | 0.947 | 0.920 | 0.946 | 0.933 | | Vipshop | 0.752 | 0.880 | 0.811 | 0.688 | 0.622 | 0.653 | 0.866 | 0.914 | 0.889 | 0.855 | 0.933 | 0.892 | 0.976 | 0.949 | 0.962 | | Ximalaya | 0.787 | 0.632 | 0.701 | 0.658 | 0.560 | 0.605 | 0.854 | 0.782 | 0.817 | 0.776 | 0.808 | 0.792 | 0.885 | 0.911 | 0.898 | | Macro avg | 0.702 | 0.739 | 0.717 | 0.558 | 0.586 | 0.561 | 0.788 | 0.840 | 0.809 | 0.904 | 0.902 | 0.901 | 0.922 | 0.917 | 0.919 | | Accuracy | 0.762 | 0.633 | 0.850 | 0.902 | 0.934 |
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