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Bitcoin Transaction Tracing and Purchasing Behavior Characterization of Online Anonymous Marketplaces Using Side Channels

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thesis
posted on 01.12.2017, 00:00 by Eugene Lemuel R. Garcia

We investigate to which degree one could trace Bitcoin transactions and characterize purchasing behavior of online anonymous marketplaces by exploiting side channels. Using a list of addresses found by the FBI on Silk Road servers, and information on the marketplace's official guides, we infer the role played by each address in the list and classify them based on heuristics. We then attempt to trace Bitcoin transactions and show that the anonymity set size is greatly reduced using product review data and the address classification performed on the previous step. Finally, using clustering techniques based on transaction graph analysis, we assign addresses into user wallets, then group these wallets together based on spending patterns, to be able to characterize purchasing behavior.

History

Date

01/12/2017

Degree Type

Master's Thesis

Department

Electrical and Computer Engineering

Degree Name

Master of Science in Information Technology (MSIT)

Advisor(s)

Nicolas Christin

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