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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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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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Extracting Linked Data from Excel Files
Dembinný, Šimon ; Nečaský, Martin (advisor) ; Bednárek, David (referee)
Title: Extracting Linked Data from Excel files Author: Šimon Dembinný Department: Department of Software Engineering Supervisor of the bachelor thesis: Mgr.Martin Nečaský, Ph.D, Department of Software Engineering at Faculty of Mathematics and Physics of Charles University Abstract: The major part of the thesis rests in the development of an application for extracting Linked Data from Excel files. The application is created as Microsoft Excel Add-on. The comparison with best freely available tool for Linked Data extraction from table data "Open refine" is provided in the theoretical part together with explanation of the concept of Linked Data itself.
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Strigil: A framework for data extraction
Zvirinský, Peter
Data scraping is a way to gather and integrate data from different data sources. In this presentation, we will describe Strigil, a framework for automatized screen-scraping. It allows to define custom scraping scripts in intuitive graphical user interface and provides a solution for scalable and distributed scraping.
Slides: idr-497_1 -  PDF
Video: idr-497_2 -  MP4
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