NFStream: a Flexible Network Data Analysis Framework.
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Updated
Aug 5, 2024 - Python
NFStream: a Flexible Network Data Analysis Framework.
Deep Learning models for network traffic classification
Toolkit for processing PCAP file and transform into image of MNIST dataset
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
一个流量分类的封装框架
Using SIFT features, BOW, model: SVM
CESNET DataZoo: A toolset for large network traffic datasets
flowRecorder - a network traffic flow feature measurement tool
AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.
CESNET Models: Neural networks for network traffic classification
🐳📡🐶 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.
Traffic Fingerprinting using Autoencoders
This is a beginner's coursework about Net traffic classification using ML
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