How Do Tor Users Interact With Onion Services?
summary
Study uses 17 interviews, a 517‑response survey and two days of B root data with 15,000 unique onion domains to quantify usability problems. Users report trouble discovering and remembering sites, about a third say they can't tell or don't check authenticity, and many rely on copy-and-paste verification. Analysis pairs domains with Jaro–Winkler >0.9 and weights frequency; one pair shows 529 versus 2 lookups, suggesting typos or phishing. Recommendations include opt‑in publishing, encrypted bookmarks, clearer indicators and automated phishing detection.
AI-written summary · about
chapters (24)
- 0:00Introduction
- 0:21Onion Services
- 0:32Tor Network
- 0:49Objectives
- 1:07Main Findings
- 1:46Outline
- 2:22Onion Domain
- 3:35Self Identityding
- 4:18Encryption
- 6:13Methodology
- 8:04Themes
- 8:22Onion Discovery
- 10:21Onion Search Engines
- 10:43Vanity Onion Domains
- 12:13Common Themes
- 14:55Similarity Score
- 16:02Results
- 16:31Onion Domains
- 17:00Phishing
- 17:27Copy and Paste
- 17:46Summary
- 18:12Future directions
- 18:44Usability issues
- 19:02Conclusion
related talks
33mOnion adventures: how to use onion services and the Tor network in your web endeavors
54mAnonymity Loves Resilience: The Case of Tor
26mCharacterizing the Nature and Dynamics of Tor Exit Blocking
13mPrivacy & Anonymity: Securing the Digital Economy's Most Valuable Assets
12mOnions Got Puzzled: On the Challenges of Mitigating Denial-of-Service...
28mOnion Service to secure APIs
50mCyber-crime and attacks in the dark side of the web
20mDemystifying the Darknet in 30mns or Less