Next Article in Journal
Neutrosophic αψ-Homeomorphism in Neutrosophic Topological Spaces
Next Article in Special Issue
First Steps towards Data-Driven Adversarial Deduplication
Previous Article in Journal
Editorial for the Special Issue on “Love & Hate in the Time of Social Media and Social Networks”
Article Menu

Export Article

Open AccessArticle
Information 2018, 9(8), 186;

A Framework for More Effective Dark Web Marketplace Investigations

Seidenberg School of Computer Science & Information Systems, Pace University, One Pace Plaza, New York, NY 10038, USA
Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, Via Eudossiana 18, 00184 Roma, Italy
Department of Business and Management, LUISS Guido Carli University, Viale Pola 12, 00198 Roma, Italy
Author to whom correspondence should be addressed.
Received: 30 May 2018 / Revised: 20 July 2018 / Accepted: 23 July 2018 / Published: 26 July 2018
(This article belongs to the Special Issue Darkweb Cyber Threat Intelligence Mining)
Full-Text   |   PDF [4757 KB, uploaded 2 August 2018]   |  


The success of the Silk Road has prompted the growth of many Dark Web marketplaces. This exponential growth has provided criminal enterprises with new outlets to sell illicit items. Thus, the Dark Web has generated great interest from academics and governments who have sought to unveil the identities of participants in these highly lucrative, yet illegal, marketplaces. Traditional Web scraping methodologies and investigative techniques have proven to be inept at unmasking these marketplace participants. This research provides an analytical framework for automating Dark Web scraping and analysis with free tools found on the World Wide Web. Using a case study marketplace, we successfully tested a Web crawler, developed using AppleScript, to retrieve the account information for thousands of vendors and their respective marketplace listings. This paper clearly details why AppleScript was the most viable and efficient method for scraping Dark Web marketplaces. The results from our case study validate the efficacy of our proposed analytical framework, which has relevance for academics studying this growing phenomenon and for investigators examining criminal activity on the Dark Web. View Full-Text
Keywords: Dark Web; AppleScript; Web scraping; Silk Road; Dark Web marketplace; Web crawler Dark Web; AppleScript; Web scraping; Silk Road; Dark Web marketplace; Web crawler

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hayes, D.R.; Cappa, F.; Cardon, J. A Framework for More Effective Dark Web Marketplace Investigations. Information 2018, 9, 186.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top