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  4. Scraping and Analyzing Data of a Large Darknet Marketplace
 
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2023
Journal Article
Title

Scraping and Analyzing Data of a Large Darknet Marketplace

Abstract
Darknet marketplaces in the Tor network are popular places to anonymously buy and sell various kinds of illegal goods. Previous research on marketplaces ranged from analyses of type, availability and quality of goods to methods for identifying users. Although many darknet marketplaces exist, their lifespan is usually short, especially for very popular marketplaces that are in focus of law enforcement agencies.
We built a data acquisition architecture to collect data from White House Market, one of the largest darknet marketplaces in 2021. In this paper we describe our architecture and the problems we had to solve, and present findings from our analysis of the collected data.
Author(s)
Yannikos, York  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Heeger, Julian  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Steinebach, Martin  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Journal
Journal of Cyber Security and Mobility  
Conference
International Conference on Availability, Reliability and Security 2022  
Open Access
DOI
10.13052/jcsm2245-1439.1222
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
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