This repository contains notebooks with code from my dissertation Cryptocurrency Privacy in Practice.

A modified version of BlockSci is needed to reproduce these analysis, which can be found here

Address clustering - Analyses

• These analyses were run a r5.4xlarge EC2 instance
• The ground truth data set is available for download here
• EC2 Notebooks 12e) and after require results from ML notebooks (see below)

Address clustering - ML

• The machine learning code was run on a machine with 64 cores and 500GB of memory (Princeton CS Cycles cluster)

Taint tracking

• These analyses were run a r5.4xlarge EC2 instance (though a smaller one might suffice)

Monero traceability

• The source code can be found here