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Darkmarket Forensics
Dolejška, Daniel ; Grégr, Matěj (referee) ; Veselý, Vladimír (advisor)
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.
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Shedding Light on The Dark Web
Horváth, Jakub ; Jašková, Jana (referee) ; Ellederová, Eva (advisor)
Tato bakalářská práce pojednává o Temném webu a jeho využití. Přestože je Temný web součástí Internetu takřka od samotného vzniku Internetu, veřejnost mu začala věnovat svou pozornost teprve před pár lety. Hlavním cílem této práce je zvýšit povědomí uživatelů internetu o dané problematice Temného webu a tím jim pomoci chránit sebe a své osobní informace. Práce se zabývá vrstvami, do kterých je web rozdělen a jeho původem. Dále také vysvětluje, jak k Dark Webu získat přístup za použití prohlížeče Tor, popisuje kryptoměnu Bitcoin a tržiště Silkroad. Na závěr práce uvádí obsah, který lze na Dark Webu nalézt, definuje pojem počítačová kriminalita a předpovídá budoucnost Dark Webu.
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Shedding Light on The Dark Web
Horváth, Jakub ; Jašková, Jana (referee) ; Ellederová, Eva (advisor)
Tato bakalářská práce pojednává o Temném webu a jeho využití. Přestože je Temný web součástí Internetu takřka od samotného vzniku Internetu, veřejnost mu začala věnovat svou pozornost teprve před pár lety. Hlavním cílem této práce je zvýšit povědomí uživatelů internetu o dané problematice Temného webu a tím jim pomoci chránit sebe a své osobní informace. Práce se zabývá vrstvami, do kterých je web rozdělen a jeho původem. Dále také vysvětluje, jak k Dark Webu získat přístup za použití prohlížeče Tor, popisuje kryptoměnu Bitcoin a tržiště Silkroad. Na závěr práce uvádí obsah, který lze na Dark Webu nalézt, definuje pojem počítačová kriminalita a předpovídá budoucnost Dark Webu.
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Dark Web: Black market on the internet and its impact on the Czech national economy in the years 2011-2015
Nedvědová, Barbora ; Štípek, Vladimír (advisor) ; Klement, Josef (referee)
The main goal of this thesis is to analyse the influence of the Dark Web on the national economy of the Czech Republic between the years 2012 and 2014. The term 'the Dark Web' and basic elements, which are related to the internet black market, are analysed in the theoretical part of the thesis. The practical part of the thesis contains the estimation of the impact of the Dark Web on the national economy, particularly on national accounts, and other macroeconomic indicators such as GDP, tax colletion, the size of the grey market and the black market, employment and exchange rates. The estimation is based on the available data from both the Czech Republic and abroad. Time periods, in which the mentioned macroeconomic indicators from the Czech Republic are affected, are determined at end of the thesis. By using available data, it is possible to prove the influence of the Dark Web on the Czech national economy and on the mentioned macroeconomic indicators. For example, in 2014, the Dark Web accounted for less than 9 per mille of the GDP of the Czech Republic. Another conclusion is that the Dark Web contributed less than 0,1 % to the grey economy, and less than 2 % to the illegal economy. The internet black market accounted for nearly 8 per mille of the revenue of social security and health insurance.
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Business models on deep web
Soukup, Jan ; Šebesta, Michal (advisor) ; Bruckner, Tomáš (referee)
This diploma thesis analyzes the deep web environment with the use of business models from the surface web. In the indroduction part of the thesis summarize terms web, deep web and dark web, these terms are intermingle the entire thesis, also brings the concept on Onion routing with use of Tor software. An inseparable part is the comparsion of tools which can be used for access to the dark web. The main part of the thesis analyzes most used business models on the surface web including their methods of monetization and after that author tries to apply these models in the dark web environment. An importat part of this work is the analysis a type of services occuring on the dark web and mutual comparison of several sub-criteria of each service. In the final part the thesis presents project Turris on which is applied to create a relay node for the Tor network.
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