Dataset for Deanonymizing Bitcoin Transactions via Network Traffic Analysis with Semi-supervised Learning

This dataset includes comprehensive network traffic data and analysis resources gathered from Bitcoin nodes, designed to support the research of deanonymizing Bitcoin transactions using semi-supervised learning techniques. The dataset includes raw packet capture (pcap) files, intermediate JSON files, clearly defined training and testing datasets, Autoencoder (AE) algorithm background sets, active transaction lists, as well as transaction clustering data derived from WalletExplorer API.