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DecETT/readme.md

DecETT: Accurate App Fingerprinting under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement

🤗Welcome to the repository of DecETT, a novel App Fingerprinting (AF) model for encrypted tunnel traffic.

❤️Since this paper has not yet been accepted, we provide an evaluation demo for interested reviewers to validate this work, including a trained model and part of our dataset.

Requirements

📖Python 3.8.16

📖Pytorch 1.12.1+cu113

📖Numpy 1.24.2

Data

💾Part of our dataset is released for evaluation. The data is stored at saved_data/v2ray_corr/data.pkl.

Usage

bash run.sh

🚇Before running run.sh, you should replace the PHTHON_PATH and MAIN_FILE as your own Python interpreter path and file path, respectively.

Results

📂The evaluation results can be found in saved_results. We provide an evaluation result in saved_results/24-10-21_16-16-45_DRL_v2ray_corr_test as an example.

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