Thesis Details

Identifikace uživatelů kryptoměn

Bachelor's Thesis Student: Zrnčík Henrich Academic Year: 2018/2019 Supervisor: Veselý Vladimír, Ing., Ph.D.
English title
Identification of Cryptocurrency Users
Language
Czech
Abstract

abstract.en={The 3rd January 2009 is considered to be the beginning of the cryptocurrency era. This work will deal with one of the ways of obtaining information about cryptocurrency users. It will be done by retrieving it from public websites where users often knowingly or unknowingly publish their cryptocurrency's address for different purposes (donation accounts or online payments which include personal data) as a result of which it is possible to link their crypto account with their real identity. The information is obtained through web scrappings. The result is an implemented application capable of automated collecting of data about the identity of cryptocurrency users and its subsequent storage in a structured database.

Keywords

Transaction, cryptocurrency, Ethereum, Bitcoin, Dash, Zcash, Monero, Web scraping, Blockchain, Public key, Private Key, Python

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
10 June 2019
Reviewer
Matoušek Petr, doc. Ing., Ph.D., M.A.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Černocký Jan, prof. Dr. Ing. (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ZRNČÍK, Henrich. Identifikace uživatelů kryptoměn. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-10. Supervised by Veselý Vladimír. Available from: https://www.fit.vut.cz/study/thesis/21558/
BibTeX 
@bachelorsthesis{FITBT21558,
    author = "Henrich Zrn\v{c}\'{i}k",
    type = "Bachelor's thesis",
    title = "Identifikace u\v{z}ivatel\r{u} kryptom\v{e}n",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21558/"
}

Theses

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