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نتیجه جستجو - Dark web

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 The Dark Web and cannabis use in the United States: Evidence from a big data research design
استفاده از وب تاریک و حشیش در ایالات متحده: شواهدی از طراحی تحقیقات داده های بزرگ-2020
Background: Cannabis is one of the most commonly sold drugs on cryptomarkets. Because of the anonymitygranting functions of Tor, no study has traced the within-country effect of the Dark Web on cannabis consumption patterns. This article uses a big data research design to examine the association between revealed interest in the Dark Web and self-reported cannabis use within US states from 2011 when Silk Road launched to 2015 when Operation Onymous shuttered nine markets. Methods: This study uses mixed effects ordinary least squared regressions to analyze U.S. state/year panel data, using robust standard errors to correct for heteroscedasticity. Marginal effect plots illustrate substantive effects. The dataset consists of state-level variables drawn from the Uniform Crime Report (UCR), the American Community Survey (ACS), the National Survey on Drug Use and Health, the Correlates of State Policy Project, and the Bureau of Justice Statistics Justice Expenditure and Employment Extracts. Data for the Dark Web interest measure are drawn from Google Trends. The proxy for Dark Web interest is an index of eight Dark Web related search queries. Results: The regression analysis indicates that Dark Web interest in US states positively correlates with cannabis consumption rates overall and among older adults (26+), but not youth (12–17) or younger adults (18–25). Additionally, Dark Web interest is positively associated with more frequent cannabis usage rates (i.e. use in the past month, excluding first time use) both overall and among older adults, but not among youth or younger adults. Dark Web interest does not correlate with casual use (i.e. use in the last year, excluding use in the past month) for any age bracket. Interacting Dark Web interest with state-level legalization regimes indicates that the association between Dark Web interest and cannabis consumption in the past year is no different in medically legalized states and amplified in states with recreational legalization. Lastly, the Dark Web interest term does not correlate with first time cannabis either overall or for any age category. Conclusions: Interest in the Dark Web is associated with increased cannabis use in U.S. states from 2011–2015, but the effect is concentrated in states with more frequent cannabis users, older users, and in states with recreational legalization of cannabis.
Keywords: Dark web | Cryptomarkets | Cannabis | Silk Road | Google Trends | Cannabis Legalization
مقاله انگلیسی
2 Studying illicit drug trafficking on Darknet markets: Structure and organisation from a Canadian perspective
مطالعه قاچاق مواد مخدر در بازارهای دارکنت: ساختار و سازمان از دیدگاه کانادا-2016
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.© 2016 Elsevier Ireland Ltd. All rights reserved.
Keywords: Digital data | Cybercrime | Intelligence | Criminal evolution | TOR | PGP key
مقاله انگلیسی
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