Security, information, and structure characterization of Tor: a survey

Mahdieh Zabihimayvan (), Reza Sadeghi () and Derek Doran ()
Additional contact information
Mahdieh Zabihimayvan: Central Connecticut State University
Reza Sadeghi: Marist College
Derek Doran: LLC

Telecommunication Systems: Modelling, Analysis, Design and Management, 2024, vol. 87, issue 1, No 15, 239-255

Abstract: Abstract Content on the World Wide Web that is not indexable by standard search engines defines a category called the deep Web. Dark networks are a subset of the deep Web. They provide services of great interest to users who seek online anonymity during their search on the Internet. Tor is the most widely used dark network around the world. It requires unique application layer protocols and authorization schemes to access. The present evidence reveals that in spite of great efforts to investigate Tor, our understanding is limited to the work on either the information or structure of this network. Also, interplay between information and structure that plays an important role in evaluating socio-technical systems including Tor has not been given the attention it deserves. In this article, we review and classify the present work on Tor to improve our understanding of this network and shed light on the new directions to evaluate Tor. The related work can be categorized into proposals that (1) study the security and privacy on Tor, (2) characterize Tor’s structure, (3) evaluate the information hosted on Tor, and (4) review the related work on Tor from 2014 to the present.

Keywords: Deep Web; Tor; Dark Web; Socio-technical systems (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-024-01149-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:87:y:2024:i:1:d:10.1007_s11235-024-01149-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-024-01149-y

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().