International Journal of Electrical Engineering and Intelligent Computing
Vol 3, No 1 (2025): International Journal Of Electrical Engineering And Intelligent Computing

Analyzing Illegal Trade On The Dark Web

Zaid Mundher (College of Computer Science and Mathematics)



Article Info

Publish Date
04 Jan 2026

Abstract

Internet can be divided, in terms of accessibility, into three main categories: Surface web, Deep web, and Dark web. The dark part is considered the most dangerous of these types due to the difficulty of tracking its users and the anonymity it offers, making it widely used for illegal activities. This research aims to measure the prevalence of illegal activities in Iraq and some neighboring countries, specifically Syria, Saudi Arabia, and Iran. The activities tracked include: drug trafficking, fake documents, and weapons trafficking. The search engine "Ahmia" was used to collect dark web links (with the .onion extension) as an initial stage. In the second stage, the Tor network was used to access these links to obtain more information from each page. A dataset of approximately 5,000 pages was created and analyzed to generate a set of insights related to the data. The results showed that Iraq appears more prominently compared to neighboring countries, reflecting the widespread use of dark web sites, as will be discussed later in this work.

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Journal Info

Abbrev

ijeeic

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Energy

Description

International Journal of Electrical Engineering and Intelligent Computing, E-ISSN : 3031-5255 is an official publication of the Universitas Khairun. The IJEEIC is an international journal is a peer-reviewed open-access. The IJEEIC that has been published online since ...