Literature DB >> 26978791

Studying illicit drug trafficking on Darknet markets: Structure and organisation from a Canadian perspective.

J Broséus1, D Rhumorbarbe2, C Mireault3, V Ouellette3, F Crispino3, D Décary-Hétu4.   

Abstract

Cryptomarkets are online marketplaces that are part of the Dark Web and mainly devoted to the sale of illicit drugs. They combine tools to ensure anonymity of participants with the delivery of products by mail to enable the development of illicit drug trafficking. Using data collected on eight cryptomarkets, this study provides an overview of the Canadian illicit drug market. It seeks to inform about the most prevalent illicit drugs vendors offer for sale and preferred destination countries. Moreover, the research gives an insight into the structure and organisation of distribution networks existing online. In particular, we provide information about how vendors are diversifying and replicating across marketplaces. We inform on the number of listings each vendor manages, the number of cryptomarkets they are active on and the products they offer. This research demonstrates the importance of online marketplaces in the context of illicit drug trafficking. It shows how the analysis of data available online may elicit knowledge on criminal activities. Such knowledge is mandatory to design efficient policy for monitoring or repressive purposes against anonymous marketplaces. Nevertheless, trafficking on Dark Net markets is difficult to analyse based only on digital data. A more holistic approach for investigating this crime problem should be developed. This should rely on a combined use and interpretation of digital and physical data within a single collaborative intelligence model.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Criminal evolution; Cybercrime; Digital data; Intelligence; PGP key; TOR

Year:  2016        PMID: 26978791     DOI: 10.1016/j.forsciint.2016.02.045

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

Review 1.  Interpol review of controlled substances 2016-2019.

Authors:  Nicole S Jones; Jeffrey H Comparin
Journal:  Forensic Sci Int Synerg       Date:  2020-05-24

2.  Fatal overdose: Predicting to prevent.

Authors:  Annick Borquez; Natasha K Martin
Journal:  Int J Drug Policy       Date:  2022-05-09

3.  A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

Authors:  Jiawei Li; Qing Xu; Neal Shah; Tim K Mackey
Journal:  J Med Internet Res       Date:  2019-06-15       Impact factor: 5.428

4.  Nonmedical prescription psychiatric drug use and the darknet: A cryptomarket analysis.

Authors:  Jack Cunliffe; David Décary-Hêtu; Thomas A Pollak
Journal:  Int J Drug Policy       Date:  2019-02-14

5.  Dark Web Marketplaces and COVID-19: before the vaccine.

Authors:  Alberto Bracci; Matthieu Nadini; Maxwell Aliapoulios; Damon McCoy; Ian Gray; Alexander Teytelboym; Angela Gallo; Andrea Baronchelli
Journal:  EPJ Data Sci       Date:  2021-01-21       Impact factor: 3.630

6.  Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access.

Authors:  Tim Mackey; Janani Kalyanam; Josh Klugman; Ella Kuzmenko; Rashmi Gupta
Journal:  J Med Internet Res       Date:  2018-04-27       Impact factor: 5.428

  6 in total

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