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, specializing in stochastic modeling, machine learning, and predictive systems for financial markets.
Experienced in probabilistic modeling, Monte Carlo simulation, uncertainty quantification, and statistical validation for data-driven decision-making.
Currently developing intraday energy-market price prediction models and optimal liquidation strategies using machine learning, functional data analysis, and stochastic differential equations.
Interested in market prediction problems where model quality is directly reflected in trading performance and PnL.