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
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.
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
Traffic Fingerprinting using Autoencoders
NetFlow aggregation and graph toolkit
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