Publication Details

Shedding Light on Monopoly: Temporal Analysis of Drug Trades

DOLEJŠKA Daniel, VESELÝ Vladimír, PLUSKAL Jan and KOUTENSKÝ Michal. Shedding Light on One Dark Marketplace: Temporal Analysis of Drug Trades. In: Boston, US, 2022, p. 18. ISBN 978-3-031-06364-0.
Czech title
Osvětlení jednoho temného tržiště: Časová analýza obchodů s drogami
Type
conference paper
Language
english
Authors
Dolejška Daniel, Ing. (DIFS FIT BUT)
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT)
Pluskal Jan, Ing. (DIFS FIT BUT)
Koutenský Michal, Ing. (DIFS FIT BUT)
Keywords

darkweb; dark marketplaces; darknet market; temporal
purchase dataset; cryptomarket

Abstract

Dark marketplaces pioneered a new way to monetise illicit
goods. A unique combination of technologies (such as overlay network, end-to-end encryption, and cryptocurrency) guarantees anonymity for dark marketplace users (including operators, vendors, and buyers). We have developed a tool for investigating dark marketplaces (namely, the collection and processing of evidence directly from these markets), which we used for real-time detection of various illicit activities. This paper presents a well-described and structured dataset that contains high-frequency web-scraped information from Monopoly Market (one of the most popular dark marketplaces in 2021). The evaluation demonstrates how temporal analysis can reveal mission-critical information about, for instance, the frequency of trades, the popularity of drug categories per country, and vendors activities.

Published
2022 (in print)
Pages
18
Conference
EAI 13th International Conference on Digital Forensics & Cyber Crime, Boston, US
ISBN
978-3-031-06364-0
Place
Boston, US, US
BibTeX 
@INPROCEEDINGS{FITPUB12792,
   author = "Daniel Dolej\v{s}ka and Vladim\'{i}r Vesel\'{y} and Jan Pluskal and Michal Koutensk\'{y}",
   title = "Shedding Light on Monopoly: Temporal Analysis of Drug Trades",
   pages = 18,
   year = 2022,
   location = "Boston, US, US",
   ISBN = "978-3-031-06364-0",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12792"
}
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