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.
Cryptomarkets are online marketplaces, located on the darknet, that facilitate the trading of a variety of illegal goods, mostly drugs. While the literature essentially focused on drugs, various other goods and products related to financial or identity fraud, firearms or counterfeit goods, as well as doping products are also offered on these marketplaces. Through the analysis of relevant data collected on a popular marketplace in 2014-2015, Evolution, this research provides an analysis of the structure of trafficking (types and proportions of products, number of vendors, shipping countries). It also aims at highlighting geographical patterns in the trafficking of these products (e.g. trafficking flows, specialisation of vendors, role in the distribution chain). The analysis of the flow of goods between countries emphasises the role of specific countries in the international and domestic trafficking, potentially informing law enforcement agencies to target domestic mails or international posts from specific countries. The research also highlights the large proportion of licit and illicit drug listings and vendors on Evolution, followed by various fraud issues (in particular, financial fraud), the sharing of knowledge (tutorials) and finally goods, currencies and precious metals (principally luxury goods). Looking at the country of origin, there seems to be a clear division between digital and physical products, with more specific information for physical goods. This reveals that the spatial analysis of trafficking is particularly meaningful in the case of physical products (such as illicit drugs) and to a lesser extent for digital products. Finally, the geographical analysis reveals that spatial patterns on Evolution tend to reflect the structure of the traditional illicit market. However, regarding illicit drugs, country-specificity have been observed and are presented in this article.
Since 2008, intelligence units of six states of the western part of Switzerland have been sharing a common database for the analysis of high volume crimes. On a daily basis, events reported to the police are analysed, filtered and classified to detect crime repetitions and interpret the crime environment. Several forensic outcomes are integrated in the system such as matches of traces with persons, and links between scenes detected by the comparison of forensic case data. Systematic procedures have been settled to integrate links assumed mainly through DNA profiles, shoemarks patterns and images. A statistical outlook on a retrospective dataset of series from 2009 to 2011 of the database informs for instance on the number of repetition detected or confirmed and increased by forensic case data. Time needed to obtain forensic intelligence in regard with the type of marks treated, is seen as a critical issue. Furthermore, the underlying integration process of forensic intelligence into the crime intelligence database raised several difficulties in regards of the acquisition of data and the models used in the forensic databases. Solutions found and adopted operational procedures are described and discussed. This process form the basis to many other researches aimed at developing forensic intelligence models.
Background: The rapid emergence of new psychoactive substances (NPS) is a challenge for public health authorities and law enforcement. The phenomenon is strengthened since the increase of the Internet usage. Not only used to trade NPS, the Web is an important source of information for both potential drug consumers and experienced users. Discussion forums are among these sources of information. They are meeting points for different groups of users and include a wide range of trip reports, questions and consumption tips. Since the discussions are archived over a long period, they can be used to monitor the interest of consumers for particular substances over time. This research aims at understanding the contribution of data extracted from a major online discussion forum within a systematic monitoring process. Method: Data were collected from a discussion forum (i.e. Drugs-forum). Within the sections of the forum, the titles, content of discussion, number of replies, and the date of the first discussion were crawled and stored in a dedicated database. The intensity of the discussions related to 42 substances considered as NPS was measured through an indicator allowing to assess the popularity of substances. Furthermore, the appearance of 15 substances on the forum was compared to the date of formal notification to the EU early warning system. Results: An evolution of the different classes of substances, as well as an evolution of specific substances within a class were highlighted. Some substances were discussed for a long period of time (e.g. Kratom, 25i-NBOMe, MDPV) while others were discussed very briefly (e.g. 5-MeO-DPT, NM-2AI). Out of the fifteen substances subjected to a risk assessment from the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA), nine of them appeared on the forum before or at the same time as their first date of notification to the EU early warning system. Conclusion: In line with previous research on doping products, this article shows the potential of the monitoring of online forums in the context of psychoactive substances. Besides, the system designed to collect the data is flexible and can be systematically updated to fuel a monitoring process. It informs not only on the presence/absence of a substance in discussions between consumers, but also on its evolution over time. Such results could benefit academic research and organizations studying the NPS phenomenon. Precisely, it could complement existing early warning systems and benefit law enforcement agencies and policy makers.
There is an increasing awareness that the articulation of forensic science and criminal investigation is critical to the resolution of crimes. However, models and methods to support an effective collaboration between the partners are still poorly expressed or even lacking. Three propositions are borrowed from crime intelligence methods in order to bridge this gap: (a) the general intelligence process, (b) the analyses of investigative problems along principal perspectives: entities and their relationships, time and space, quantitative aspects and (c) visualisation methods as a mode of expression of a problem in these dimensions. Indeed, in a collaborative framework, different kinds of visualisations integrating forensic case data can play a central role for supporting decisions. Among them, link-charts are scrutinised for their abilities to structure and ease the analysis of a case by describing how relevant entities are connected. However, designing an informative chart that does not bias the reasoning process is not straightforward. Using visualisation as a catalyser for a collaborative approach integrating forensic data thus calls for better specifications.
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