Resource type
Date created
2018-05-09
Authors/Contributors
Author (aut): Monk, Bryan
Author (aut): Mitchell, Julianna
Author (aut): Frank, Richard
Author (aut): Davies, Garth
Abstract
The dark web is a concealed portion of the Internet that can only be accessed through specialized software. Although multiple dark web technologies exist, with a common trait of using encryption to enforce anonymity, the Tor network remains the most prominent dark web network. To visit websites on the network, the user must use a heavily modified Firefox browser. The use of encryption to achieve anonymity poses a significant challenge for law enforcement that wishes to monitor users and content for illicit activity. This study examines Tor by focusing on the network structures created between websites via hyperlinks. Examining hyperlinks can provide insight into how virtual communities form on a network. We explore traditional social disorganization principles as a basis to draw comparisons between these virtual communities and real-life crime-prone neighborhoods. Automated data collection techniques were used to leverage the interconnected nature of domains on Tor. Using social network analysis, website hyperlinks are examined and core sites are identified. The analysis shows that these core sites form a significant portion of all connections made on the network with a density of 0.132. This core serves a critical function and has implications for detecting how users connect on Tor.
Document
Published as
Monk, Bryan & Mitchell, Julianna & Frank, Richard & Davies, Garth. (2018). Uncovering Tor: An Examination of the Network Structure. Security and Communication Networks. 2018. 1-12. DOI: 10.1155/2018/4231326.
Publication details
Publication title
Security and Communication Networks
Document title
Uncovering Tor: An Examination of the Network Structure
Date
2018
First page
1
Last page
12
Publisher DOI
10.1155/2018/4231326
Rights (standard)
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Language
English
Member of collection
Download file | Size |
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4231326.pdf | 1.51 MB |