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Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.

Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.

This is a development project based on an existing work. Following the model architecture, parameters, and utilizing some datasets mentioned in the original paper, the goal is to implement the experimental results. However, performance matching the paper cannot be guaranteed. For simplicity in development, this project exclusively utilizes the ISCX VPN-non VPN dataset and follows the preprocessing methods outlined in the paper. Finally, the model is trained according to the parameters specified in the paper
Yucheng
Created on December 24|Last edited on December 24

05001k1.5kStep0.511.52
MTC
MTT
1D-CNN
Run set
3


Created with ❤️ on Weights & Biases.

https://wandb.ai/yuchengml/MTC/reports/Implementation-of-a-multi-task-model-for-encrypted-network-traffic-classification-based-on-transformer-and-1D-CNN---Vmlldzo2MzQyNjU5
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