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Level: MA; MAP
Responsible Person: Dr. Nicolò Vallarano
Keywords: Machine-learning, Crypto-forensics, Bitcoin
The goal of this project is to predict the existence of a transaction between nodes who exchanged Bitcoin tokens on Dark Web Marketplaces [1], intended as websites where the users could exchange virtually anything comprising illegal goods, using Bitcoin as the main currency. At each block, it is possible to associate each Bitcoin User (intended as a clustered aggregate of Bitcoin Addresses) with a measure of Darkness, meaning a proxy measure of the amount of Bitcoin under their possession that has passed through Dark Web Marketplaces.
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