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Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

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Hello, I'm using this repo. I notice that the results in [evaluation.ipynb](https://github.com/munhouiani/Deep-Packet/blob/master/evaluation.ipynb) are not very consistent with the paper, especially the precision will be lower, why is this? Thank you!

Hi. I am trying to use ISCXVPN2016 for data preprocessing and segmentation of training and test sets. But ISCXVPN2016 does not seem to have a `torrent01` item. So I downloaded...

There is a statement "For each of the application and traffic classification tasks, the dataset is first stratified split into train set and test set with the ratio of 80:20"...

I see a ValueError: Please pass `features` or at least one example when writing data` at the end of train_cnn when run on VPN dataset. I have not modified the...

The model of the original paper is the combination of SAE and CNN. However, there is no reference to SAE in your code. May I ask where can I find...