Buying drugs on a Darknet market: A better deal? Studying the online illicit drug market through the analysis of digital, physical and chemical data.

Darknet markets, also known as cryptomarkets, are websites located on the Darknet and designed to allow the trafficking of illicit products, mainly drugs. This study aims at presenting the added value of combining digital, chemical and physical information to reconstruct sellers' activities. In part...

Descripción completa

Detalles Bibliográficos
Publicado en:Forensic Science International Vol. 267; pp. 173 - 183
Autores principales: Rhumorbarbe, Damien, Staehli, Ludovic, Broséus, Julian, Rossy, Quentin, Esseiva, Pierre
Formato: Journal Article
Publicado: Elsevier B.V. Oct2016
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118522737&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 118522737
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        03790738
        3L0
      jtl: Forensic Science International
      issn: 03790738
      maglogo: N
    pubinfo:
      dt: Oct2016
      vid: 267
      pid: 82545
      pub: Elsevier B.V.
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        118522737
        118522737
        NLM27611957
        10.1016/j.forsciint.2016.08.032
        NLM27611957
        118522737
      ppf: 173
      ppct: 10
      formats:
      tig:
        atl: Buying drugs on a Darknet market: A better deal? Studying the online illicit drug market through the analysis of digital, physical and chemical data.
      aug:
        au:
          Rhumorbarbe, Damien
          Staehli, Ludovic
          Broséus, Julian
          Rossy, Quentin
          Esseiva, Pierre
        affil: Ecole des Sciences Criminelles, University of Lausanne, Lausanne, Switzerland
      sug:
      ab: Darknet markets, also known as cryptomarkets, are websites located on the Darknet and designed to allow the trafficking of illicit products, mainly drugs. This study aims at presenting the added value of combining digital, chemical and physical information to reconstruct sellers' activities. In particular, this research focuses on Evolution, one of the most popular cryptomarkets active from January 2014 to March 2015. Evolution source code files were analysed using Python scripts based on regular expressions to extract information about listings (i.e., sales proposals) and sellers. The results revealed more than 48,000 listings and around 2700 vendors claiming to send illicit drug products from 70 countries. The most frequent categories of illicit drugs offered by vendors were cannabis-related products (around 25%) followed by ecstasy (MDA, MDMA) and stimulants (cocaine, speed). The cryptomarket was then especially studied from a Swiss point of view. Illicit drugs were purchased from three sellers located in Switzerland. The purchases were carried out to confront digital information (e.g., the type of drug, the purity, the shipping country and the concealment methods mentioned on listings) with the physical analysis of the shipment packaging and the chemical analysis of the received product (purity, cutting agents, chemical profile based on minor and major alkaloids, chemical class). The results show that digital information, such as concealment methods and shipping country, seems accurate. But the illicit drugs purity is found to be different from the information indicated on their respective listings. Moreover, chemical profiling highlighted links between cocaine sold online and specimens seized in Western Switzerland. This study highlights that (1) the forensic analysis of the received products allows the evaluation of the accuracy of digital data collected on the website, and (2) the information from digital and physical/chemical traces are complementary to evaluate the practices of the online selling of illicit drugs on cryptomarkets.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N