"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:0ba88c37-2593-4db5-a4cb-c4c03b3c3bfc","http://resolver.tudelft.nl/uuid:0ba88c37-2593-4db5-a4cb-c4c03b3c3bfc","Measuring Darknet Markets","Stinenbosch, Bas (TU Delft Electrical Engineering, Mathematics and Computer Science)","Hartel, Pieter (mentor); van Eeten, Michel (graduation committee); van Wegberg, Rolf (graduation committee); van Hardeveld, Gert Jan (graduation committee); Delft University of Technology (degree granting institution)","2019","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.","Cryptomarket; Darknet; Market; Measuring; Proxies; Validating","en","master thesis","","","","","","","","","","","","Computer Science","",""