Skip to content

Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

License

Notifications You must be signed in to change notification settings

wmn7/Traffic-Classification

Repository files navigation

Introduction

这个仓库关联论文:CENTIME: A Direct Comprehensive Traffic Features Extraction for Encrypted Traffic Classification

还有其他两篇关于流量检测的论文:

如果觉得有帮助,欢迎引用上述论文。

Data Preprocessing

Run the following command in the root directory to perform data preprocessing:

python -m TrafficFlowClassification preprocess_pipeline

Model Train

Select the model in 'train.py' file in line 40,

model = resnet181D(model_path, pretrained=cfg.test.pretrained, num_classes=12, image_width=cfg.train.IMAGE_WIDTH).to(device)

Then run the following command in the root directory to train the model.

python -m TrafficFlowClassification train_pipeline

About

Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published