Print Email Facebook Twitter Measuring Darknet Markets Title Measuring Darknet Markets Author Stinenbosch, Bas (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Hartel, Pieter (mentor) van Eeten, Michel (graduation committee) van Wegberg, Rolf (graduation committee) van Hardeveld, Gert Jan (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science Date 2019-08-21 Abstract Background: A lot of scientists have tried to shed light on dark web markets. They did this by scraping these marketplaces over a period of time and describe what they were seeing. However, the methods used to measure these markets were never validated before. Research goal: This research will identify and validate the methods that are used in the literature to measure darknet marketplaces. Methods: To validate these methods, a novel dataset is used, namely the confiscated backend of a market. This dataset is cleaned and used to analyze the accuracy of these proxies on. Results: It is found that the number of transactions, revenue, and market share can be estimated with a high amount of explained variance. The predictions are precise enough to find prominent vendors on the market. The designed method of calculating the illegally obtained profits of a darknet vendor is easy to understand and could be used by law enforcement agencies. Finally, it is found that some vendors register to a market early as a strategy to ensure their business continuity. Subject CryptomarketDarknetMarketMeasuringProxiesValidating To reference this document use: http://resolver.tudelft.nl/uuid:0ba88c37-2593-4db5-a4cb-c4c03b3c3bfc Part of collection Student theses Document type master thesis Rights © 2019 Bas Stinenbosch Files PDF Measuring_Darknet_Markets.pdf 936.34 KB Close viewer /islandora/object/uuid:0ba88c37-2593-4db5-a4cb-c4c03b3c3bfc/datastream/OBJ/view