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 |
|
|