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
Location
Hungarian Academy of Sciences
9 Széchenyi István tér, Budapest, 1051
Authors
Quantitative Researcher
I am a PhD researcher in Mathematics with experience in stochastic modeling, probabilistic analysis, and large-scale simulation, supported by Python/C++ model development.
Previously, I worked as a machine learning researcher at Bosch, where I developed and validated predictive models with a focus on uncertainty estimation and data-driven decision-making.
I am interested in applying quantitative methods to forecasting and risk modeling in energy and financial markets.