Variational Autoencoder Network (VAEN) implementation on IMTD17 datasets to realize traffic identification.
3 files are available in this repository:
File Name | Description |
---|---|
model.py | Variational Autoencoder Network |
figure.py | Figure drawing helper functions |
main.py | Main process in TensorFlow |
Note: .py
files are written for Python 3.x.
Sample reconstruction of (a)Alipay, (b)Kugou, (c)Weibo traffic image.
2-D Latent representation distribution.
Note: Labels are corresponding to IMTD17 datasets
Sample reconstruction from 2-D latent representation.
Classification result under different threshold. Classification Result of App Traffic.
App | Pre | Rec | App | Pre | Rec |
---|---|---|---|---|---|
Alipay | 100 | 100 | 100 | 100 | |
Baidu | 100 | 100 | QQ Mail | 100 | 93.2 |
Bilibili | 100 | 100 | QQ Music | 100 | 100 |
CNTV | 100 | 100 | Taobao | 100 | 100 |
JD | 100 | 89.1 | 100 | 86.6 | |
Kugou | 100 | 94.6 | 100 | 100 |
Note: Pre for Precision, Rec for Recall