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Employing Network Intelligence for Deanonymization of Cryptocurrency Users
Horňák, Peter ; VUT), Marcel Marek (FIT (oponent) ; Grégr, Matěj (oponent) ; Jeřábek, Vladimír (oponent) ; Veselý, Vladimír (vedoucí práce)
The goal of this thesis is to analyze the Ethereum peer-to-peer network and nodes connected to the network. To collect the necessary data, we propose a monitoring system that can crawl the network, discovering new peers and collecting information about them on a regular basis. We implement version 4 and version 5 of Ethereum discovery protocol, to communicate with the network nodes. The platform is built on a microservices architecture for better scalability and modularity, while being encapsulated in Docker containers for easier deployment. The monitoring system collects and stores essential information such as IP addresses, port numbers, and asymmetric public keys in a time series database. For verification of results, the results are then compared with publicly available sources.
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