There are 9 repositories under traffic-classification topic.
Deep Learning models for network traffic classification
Toolkit for processing PCAP file and transform into image of MNIST dataset
Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.
一个流量分类的封装框架
tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.
Using SIFT features, BOW, model: SVM
flowRecorder - a network traffic flow feature measurement tool
CESNET DataZoo: A toolset for large network traffic datasets
AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.
CESNET Models: Neural networks for network traffic classification
Jupyter notebooks with traffic classification examples using CESNET DataZoo and CESNET Models packages
A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
In this paper, we proposed a deep learning model which achieves progress compared to LeNet-5 in the stability of Internet traffic classification.
Network Measurement Lab course homeworks - 2021/2022
Mobile Traffic Classification using Deep Learning
NetFlow aggregation and graph toolkit
Traffic Fingerprinting using Autoencoders
pcap file analysis, only deal with ipV4
A repository with models for encrypted traffic classification.
This is a beginner's coursework about Net traffic classification using ML