Talk - Probabilistic Localization of Bitcoin Users
Mar 24, 2016
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0 min read
Abstract
Bitcoin operates on a peer-to-peer network over the Internet, on which several messages are propagating about every created transactions. By carefully analyzing the timestamps of the reception of these messages, we developed a probabilistic mathematical model that assigns Bitcoin identifiers to IP addresses, thus revealing the identity of Bitcoin users. Through the IP addresses, many Bitcoins could be geographically located, which revealed several interesting Bitcoin-related links between countries. To the best of our knowledge, this is the first research that quantitatively analyzes the spatial distribution and flow of Bitcoin.
Date
Mar 24, 2016 11:15 AM — 11:45 AM
Event
Statistical Physics Conference
Location
Hungarian Academy of Sciences
9 Széchenyi István tér, Budapest, 1051
Authors
Quantitative Researcher
Quantitative researcher with a PhD in Mathematics, combining expertise in stochastic modeling, statistical inference, and machine learning with industrial experience in developing predictive systems.
Experienced in large-scale time-series analysis, uncertainty quantification, and rigorous model validation, with strong Python/C++ skills and a proven track record of translating research into production software.
Currently developing intraday electricity-price models and stochastic-control methods for optimal liquidation at Aarhus University, in collaboration with an energy trading firm.