Data-driven empirical analysis of privacy-aware user behavior in Bitcoin and Bitcoin Cash

Supervisor(s)Dr. Svetlana Abramova


The purpose of this thesis is to empirically examine a potential correlation between the market dynamics (e.g., periods of high/low transaction fees or price volatility) and privacy-aware user behavior in cryptocurrency systems like Bitcoin and Bitcoin Cash. One hypothesis would be that users are less privacy-aware in their coin selection decisions when transaction fees are high. This needs to be tested on the historical blockchain data.

This thesis requires that the student understands the principles of Bitcoin or is willing to learn them. The technical implementation, data analysis, and visualization will be done in BlockSci (Python) and R.


  • Kalodner, H.A., Goldfeder, S., Chator, A., Möser, M., and Narayanan, A. BlockSci: Design and Applications of a Blockchain Analysis Platform. 2017. arXiv eprint 1709.02489.
  • Erhardt, M. An Evaluation of Coin Selection Strategies. 2016.