Research Article
Identification of Encrypted Traffic Using Advanced Mathematical Modeling and Computational Intelligence
Table 1
Description of sample dataset.
| The application name | Unbalanced sample | Quantity | Ratio (%) |
| AIM_chat | 4869 | 2.3 | SCPdown | 15390 | 7.4 | Youtuebe | 12738 | 6.1 | Voipbuster | 35469 | 17.1 | E-mail | 4417 | 2.1 | Vimeo | 18755 | 9 | Facebook | 5527 | 2.6 | Gmail | 7329 | 3.5 | TorTwitter | 14654 | 7 | Hangout | 7587 | 3.6 | Spotify | 14442 | 6.9 | Skype | 4607 | 2.2 | ICQ | 4243 | 2 | SETPdown | 4729 | 2.2 | Netflix | 51932 | 25.1 | Total | 206688 | 100 |
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