https://github.com/faucetsdn/poseidon

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.

automation docker faucet hacktoberfest machine-learning network-analysis network-forensics network-monitoring network-traffic network-traffic-capture network-traffic-classification networking pcap pcap-analyzer pcap-files sdn sdn-controller security software-defined-network

Last synced: 13 Dec 2025

https://github.com/faucetsdn/networkml

Machine learning plugins for network traffic

hacktoberfest machine-learning machine-learning-algorithms ml network-analysis network-traffic-classification network-traffic-identification pcap poseidon

Last synced: 20 Mar 2025

https://github.com/pritom007/network-traffic-classification

dataset decision-trees docker-container knn-classification machine-learning network network-analysis network-monitoring network-traffic-classification random-forest software-defined-network traffic-classification

Last synced: 03 Apr 2025

https://github.com/stefan-500/ml-network-traffic-classification-unsw-nb15

Network traffic classification using Machine Learning

classification machine-learning network-traffic-classification python scikit-learn support-vector-machines svc-model unsw-nb15-dataset

Last synced: 03 May 2026

https://github.com/recker-dev/iot-healthcare-network-traffic-attack-predictor

A machine learning project to detect cyberattacks in IoT healthcare networks. Utilizes PCA for dimensionality reduction, data visualization for insights, and ANN for classification. Features a FastAPI backend and Streamlit UI for inference with labeled and unlabeled datasets.

ai deep-learning fastapi ml network-traffic-analysis network-traffic-classification neural-network pca-analysis streamlit

Last synced: 11 May 2026