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  4. Similarity Analysis of Single-Vendor Marketplaces in the Tor-Network
 
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March 22, 2022
Journal Article
Title

Similarity Analysis of Single-Vendor Marketplaces in the Tor-Network

Abstract
Single-vendor shops are darknet marketplaces where individuals offer their own goods or services on their own darknet website. There are many single-vendor shops with a wide range of offers in the Tor-network. This paper presents a method to find similarities between these vendor websites to discover possible operational structures between them. In order to achieve this, similarity values between the darknet websites are determined by combining different features from the categories content, structure and metadata. Our results show that the features HTML-Tag, HTML-Class, HTML-DOM-Tree as well as File-Content, Open Ports and Links-To proved to be particularly important and very effective in revealing commonalities between darknet websites. Using the similarity detection method, it was found that only 49% of the 258 single-vendor marketplaces were unique, meaning that there were no similar websites. In addition, 20% of all vendor shops are duplicates. 31% of all single-vendor marketplaces can be sorted into seven similarity groups.
Author(s)
Platzer, Florian  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Brenner, Fabian
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 (ARES) 2021  
Open Access
DOI
10.13052/jcsm2245-1439.1124
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • tor

  • vendor sites

  • similarity detection

  • feature importance

  • darknet

  • offer

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