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User and Device Metadata Collection from the Darkweb
 Gula, Ján ; Matoušek, Petr (referee) ; Veselý, Vladimír (advisor)
This bachelor's thesis solves the problem of anonymization on the Internet, that is widely used for dealing with illegal substances. This problem drives law enforcement agencies to be interested in web pages that represent markets with forbidden content which are hidden behind anonymity networks. My goal is to focus on the biggest markets with such content and to gather as much information as possible about subjects that posture on similar types of web pages either as sellers or as buyers. I have resolved the given problem by choosing the most impactful markets according to the number of users signed in. I have become one of the users and applied algorithms for data scraping to get information from web pages into a structured form that is more suitable for a deeper analysis. The results of this thesis will help law enforcement agencies with the analysis of metadata of users that commit illegal activities as they will not have to manually search through the illegal markets, and they will have all available data summed up in a structured form in a database. Unifying data into a structured form will help speeding up the investigation and address the biggest drug sellers.
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