Research Article
Shedding Light on Monopoly: Temporal Analysis of Drug Trades
@INPROCEEDINGS{10.1007/978-3-031-36574-4_9, author={Daniel Dolejška and Vladim\^{\i}r Vesel\"{y} and Jan Pluskal and Michal Koutensk\"{y}}, title={Shedding Light on Monopoly: Temporal Analysis of Drug Trades}, proceedings={Digital Forensics and Cyber Crime. 13th EAI International Conference, ICDF2C 2022, Boston, MA, November 16-18, 2022, Proceedings}, proceedings_a={ICDF2C}, year={2023}, month={7}, keywords={dark market drug trade illegal trade purchase detection temporal data set market analytics web scraping dataset crypto cryptocurrency dark marketplace cryptomarket}, doi={10.1007/978-3-031-36574-4_9} }- Daniel Dolejška
Vladimír Veselý
Jan Pluskal
Michal Koutenský
Year: 2023
Shedding Light on Monopoly: Temporal Analysis of Drug Trades
ICDF2C
Springer
DOI: 10.1007/978-3-031-36574-4_9
Abstract
Dark marketplaces pioneered a new way to monetise illicit goods. A unique combination of technologies (such as overlay networks, end-to-end encryption, and cryptocurrencies) guarantees anonymity for dark marketplace users (including operators, vendors, and buyers).
We have developed a tool for monitoring and investigating dark marketplaces (namely, collecting and processing evidence directly from their websites), 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 high-resolution temporal analysis can reveal mission-critical information about the frequency of trades, vendor activities, and the drug market.
