network-traffic-classification

Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.

Machine learning plugins for network traffic

using deep learning to classify the encrypted network traffic

基于IDS 2018数据集使用LightGBM和XGBoost实现DDoS流量分类 sFlow RT&Mininet流量采集与分类 杭电综合项目实践

Network traffic Simulation & Classification system

Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal Shapira and Yuval Shavitt

Generate network communication data for target tasks in diverse network conditions.

Code resource (R) for the paper: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4181

Network traffic classifier based on Apache Spark and MLlib

An ML-based classification method to classify the traffic and intrusions in a network which improves the overall performance of the network system.

This was the classification of Network Traffic using 5 features for 10 apps. We created this app using Python and Streamlit and then it was hosted by Heroku