Identifikace vlastníků bitcoinových adres
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
The goal of this work is to first examine existing tools and databases containing Bitcoin addresses and other data associated with them, and then implement our own solution. The solution consists of two tools. The first one crawls freely available websites, parses them and then downloads the available data from them. From the available data, it performs a selection of Bitcoin addresses in particular. The second tool provides data to the user based on his role in the system. The user is able to search for a specific cryptocurrency address or obtain a list of addresses, which can be filtered by cryptocurrency or data source. The tool then additionally includes an API that offers the same functionality without the need for a web interface. The data collection tool is designed in Python using a PostgreSQL database. The second tool mentioned above is written in JavaScript in Node.js. Both tools can be run in parallel.
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Bitcoin, Bitcoin address, pseudonymous, database, report, crawler, website, API, Python, Node.js, JavaScript, PostgreSQL