Detail výsledku
Shedding Light on Monopoly: Temporal Analysis of Drug Trades
Veselý Vladimír, Ing., Ph.D., UIFS (FIT)
Pluskal Jan, Ing., Ph.D., UIFS (FIT)
Koutenský Michal, Ing., UIFS (FIT)
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.
dark market, drug trade, illegal trade, purchase detection, temporal data set, market analytics, web scraping, dataset, crypto, cryptocurrency, dark marketplace, cryptomarket
@inproceedings{BUT180571,
author="Daniel {Dolejška} and Vladimír {Veselý} and Jan {Pluskal} and Michal {Koutenský}",
title="Shedding Light on Monopoly: Temporal Analysis of Drug Trades",
booktitle="13th EAI International Conference, ICDF2C 2022, Boston, MA, November 16-18, 2022, Proceedings",
year="2022",
series="Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
journal="Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",
number="508",
pages="151--168",
publisher="Springer Nature Switzerland AG",
address="Boston, MA",
doi="10.1007/978-3-031-36574-4\{_}9",
isbn="978-3-031-36573-7",
issn="1867-8211",
url="https://link.springer.com/chapter/10.1007/978-3-031-36574-4_9"
}