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.

using deep learning to classify the encrypted network traffic

Machine learning plugins for network traffic

Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)

Network traffic classifier based on Apache Spark and MLlib

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

AI-powered Network Traffic Classifier developed for the IBM Z Datathon.

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-powered Network Traffic Classifier developed for the IBM Z Datathon.

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

This is a code repository for a paper with title "Mitigating Adversarial Attacks in Federated Learning Based Network Traffic Classification Applications using Secure Hierarchical Remote Attestation and Adaptive Aggregation Framework"