traffic-classification

echowei/DeepTraffic

Deep Learning models for network traffic classification

yungshenglu/USTC-TK2016

Toolkit for processing PCAP file and transform into image of MNIST dataset

munhouiani/Deep-Packet

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

PrivPkt/PrivPkt

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

wangtz19/NetMamba

Efficient Network Traffic Classification via Pre-training Unidirectional Mamba

pritom007/Network-Traffic-Classification

BeStrongok/Malicious-Traffic-Classification

Use deep learning to classify the malicious traffic, and use TensorFlow2.0 to carry out it.

lulu-cloud/TrafficClassificationPandemonium

一个流量分类的封装框架

tcbenchstack/tcbench

tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.

CESNET/cesnet-datazoo

CESNET DataZoo: A toolset for large network traffic datasets

manhminno/Traffic-Classify

Using SIFT features, BOW, model: SVM

drnpkr/flowRecorder

flowRecorder - a network traffic flow feature measurement tool

OrangeUW/AutoML4ETC

AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.

CESNET/cesnet-models

CESNET Models: Neural networks for network traffic classification

CESNET/cesnet-tcexamples

Jupyter notebooks with traffic classification examples using CESNET DataZoo and CESNET Models packages

abhash-rai/traffic-image-classifier

A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.

dane-tool/dane

🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.

ProjectNeura/A-Deep-Learning-Model-for-Accurate-and-Robust-Internet-Traffic-Classification

In this paper, we proposed a deep learning model which achieves progress compared to LeNet-5 in the stability of Internet traffic classification.

LoSgu8/Network-Measurements-Lab

Network Measurement Lab course homeworks - 2021/2022

nightflyza/OphanimFlow

NetFlow aggregation and graph toolkit

afgambin/traffic-classification-dl

Mobile Traffic Classification using Deep Learning

afgambin/traffic-fingerprinting-autoencoder

Traffic Fingerprinting using Autoencoders

JiaChangGit/pcap_analysis

pcap file analysis, only deal with ipV4

micaelCZ/Encrypted-Traffic-Classification-with-Deep-Learning

A repository with models for encrypted traffic classification.

WangXinYu2037/network_traffic_classifier

This is a beginner's coursework about Net traffic classification using ML