L-ETC-Pytorch

Description

Pytorch implementation of L-ETC: A Lightweight Model Based on Key Bytes Selection for Encrypted Traffic Classification, which was accepted by ICC'23 CQRM Symposium.

Public Dataset

Our encrypted traffic classification tasks are designed based on three of the most widely used datasets, including ISCX-VPN, ISCX-TOR and USTC-TFC, which can be obtained from Baidu Cloud or downloaded from the dataset source address for ease of use. (链接: https://pan.baidu.com/s/1AyMzsJGfc_iIBjL8hokvqA 提取码: cgv1)

Installation

pip install -r requirements.txt

Citation

@INPROCEEDINGS{Cao2305:L,
AUTHOR="Jie Cao and Yuwei Xu and Qiao Xiang",
TITLE="{L-ETC:} A Lightweight Model Based on Key Bytes Selection for Encrypted
Traffic Classification",
BOOKTITLE="2023 IEEE International Conference on Communications (ICC): Communication
QoS, Reliability and Modeling Symposium (IEEE ICC'23 - CQRM Symposium)",
ADDRESS="Rome, Italy",
DAYS="27",
MONTH=may,
YEAR=2023}