Research Article
A Novel Way to Generate Adversarial Network Traffic Samples against Network Traffic Classification
Table 7
Classification test on the UST-TFC2016 dataset.
| | Application type | Accuracy | Precision | F1_score | | LeNet-5 | Vgg-16 | LeNet-5 | Vgg-16 | LeNet-5 | Vgg-16 |
| | BitTorrent | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Cridex | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Facetime | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | FTP | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Geodo | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Gmail | 0.99 | 0.99 | 0.99 | 1.00 | 0.99 | 0.99 | | Htbot | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Miuref | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | MySQL | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Neris | 0.99 | 1.00 | 0.99 | 1.00 | 0.99 | 1.00 | | Nsis-ay | 0.99 | 1.00 | 1.00 | 0.99 | 0.99 | 1.00 | | Outlook | 0.98 | 1.00 | 1.00 | 0.99 | 0.99 | 0.99 | | Shifu | 1.00 | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | | Skype | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 | 0.99 | | SMB | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Tinba | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | Virut | 0.99 | 1.00 | 0.99 | 1.00 | 0.99 | 1.00 | | Weibo | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | WOW | 1.00 | 1.00 | 1.00 | 0.99 | 1.00 | 1.00 | | Zeus | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
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