Busting up Monopoly: Methods for Modern Darknet Marketplace Forensics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU149366" target="_blank" >RIV/00216305:26230/23:PU149366 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.fsidi.2023.301604" target="_blank" >http://dx.doi.org/10.1016/j.fsidi.2023.301604</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.fsidi.2023.301604" target="_blank" >10.1016/j.fsidi.2023.301604</a>
Alternative languages
Result language
angličtina
Original language name
Busting up Monopoly: Methods for Modern Darknet Marketplace Forensics
Original language description
Darknet marketplaces represent the most delinquent evolution step in distributing illicit goods such as drugs, steroids, firearms, warez, or leaked personal information. <br>On the one hand, law enforcement agencies try to catch vendors, buyers, and operators of darknet marketplaces. <br>On the other hand, the criminals mentioned above constantly stretch the limits of overlay networks, applied cryptography, and cryptocurrency pseudonymity. <br>This paper intends to provide relevant and up-to-date (for the year 2022) information about potential ways to deal with darknet marketplaces from the perspective of investigators.<br>This paper outlines methods (based on periodic web scraping) that may help sworn officers to gather evidence about darknet marketplace users. The potential is demonstrated in a real-life case study of the Monopoly Market.<br>For instance, suggested approaches seem capable: monitoring the demography and activities of darknet marketplace users, estimating the number of procurements and their value, and correlating user identities with their cryptocurrency addresses. The paper also provides an applicability analysis of proposed methods on the subset of currently trending darknet marketplaces.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Forensic Science International: Digital Investigation
ISSN
2666-2817
e-ISSN
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Volume of the periodical
46
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1-11
UT code for WoS article
001133537200001
EID of the result in the Scopus database
2-s2.0-85175304591