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

Détails

ID Serval
serval:BIB_261129F8588F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Studying illicit drug trafficking on Darknet markets: structure and organisation from a Canadian perspective
Périodique
Forensic Science International
Auteur(s)
Broséus J., Rhumorbarbe D., Mireault C., Ouellette V., Crispino F., Décary-Hétu D.
ISSN
1872-6283
ISSN-L
0379-0738
Statut éditorial
Publié
Date de publication
2016
Peer-reviewed
Oui
Volume
264
Pages
7-14
Langue
anglais
Résumé
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.
Mots-clé
Digital data, Cybercrime, Intelligence, Criminal evolution, TOR, PGP key
Pubmed
Web of science
Création de la notice
12/07/2016 17:39
Dernière modification de la notice
20/08/2019 13:04
Données d'usage