SmartData-Polito/gnn-for-darknet
This repo contains the codes and the notebooks used for the paper "Exploring Temporal GNN Embeddings for Darknet Traffic Analysis".
This project helps network security analysts detect malicious darknet traffic. It takes raw network traffic data, processes it into temporal graphs, and then uses Graph Neural Networks (GNNs) to generate embeddings. These embeddings can then be used to classify traffic, helping analysts identify suspicious activities on darknets.
No commits in the last 6 months.
Use this if you are a network security researcher or analyst focused on improving the detection of darknet traffic using advanced graph-based machine learning techniques.
Not ideal if you need an out-of-the-box solution for real-time darknet traffic analysis without diving into research-grade code and experimentation.
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Last pushed
Sep 07, 2023
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