Deep-Packet
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munhouiani
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
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...
I would like to ask why VPN packets are not taken into account when classifying apps.
They used to include `torrent01.pcap` in their dataset, but they had removed it. The full dataset was updated in 2021. I retrained the model. _Originally posted by @munhouiani in https://github.com/munhouiani/Deep-Packet/issues/27#issuecomment-1260327925_
https://github.com/munhouiani/Deep-Packet/blob/ce15b900772a6691cb1762c6ec5ad7f19edc222e/preprocessing.py#L33C1-L44C50 ``` def pad_udp(packet): if UDP in packet: # get layers after udp layer_after = packet[UDP].payload.copy() # build a padding layer pad = Padding() pad.load = "\x00" * 12 layer_before...
May I ask why you didn't create valid data? CNN requires valid data
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Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning