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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