Thesis Details
Forenzní analýza temných tržišť
Overlay networks (like Tor or I2P) create a suitable environment for criminality to thrive on the Internet. Dark marketplaces (a.k.a. cryptomarkets) are one such example of criminal activities. They act as an intermediary in the trade of illegal goods and services. This project focuses on forensic analysis of such web services and subsequent extraction of non-trivial information about the realised orders and payments from selected marketplaces. The main goal is to pinpoint the time interval when an order has been completed on selected marketplaces and its following correlation with cryptocurrency blockchains. The implemented program provides fully automated non-stop monitoring of selected cryptomarkets. That, under certain conditions, allows detection of realised purchases, detailed product and vendor monitoring and collection of various meta-data entries. Law enforcement agencies can use acquired data as support evidence regarding the operation of selected cryptomarkets and their vendors. The obtained information can also indicate current trends in products supply and demand.
forensic analysis, dark marketplace, trade, cryptocurrencies, blockchain, anonymisation, Tor, proxy, dark web, darknet, automation, web processing, crawling, scraping, captcha, monitoring, monopoly market
The publication of the bachelor's thesis is in accordance with the provision of § 47b par. 4 of the Act no. 111/1998, about universities and about the change and supplementing other laws (Higher Education Act), as amended, delayed by 3 years. The reason for the delay of the publication is the protection of intellectual property.
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Meduna Alexander, prof. RNDr., CSc. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
@mastersthesis{FITMT23563, author = "Daniel Dolej\v{s}ka", type = "Master's thesis", title = "Forenzn\'{i} anal\'{y}za temn\'{y}ch tr\v{z}i\v{s}\v{t}", school = "Brno University of Technology, Faculty of Information Technology", year = 2021, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/23563/" }