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HiddenTor: Toward a User-Centric and Private Query System for Tor BridgeDB

  • Yichen Zang
  • , Chengjun Cai*
  • , Wentao Dong
  • , Lei Xu
  • , Cong Wang
  • *Corresponding author for this work
  • City University of Hong Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Tor bridges are crucial, unlisted relays designed to enhance system accessibility and circumvent censorship in the Tor network. Currently, Tor BridgeDB will randomly distribute 1-3 bridge relays to the user per request. Yet, those randomly selected bridges may not meet users' specific needs, e.g., adequate bandwidth for large-file sharing in a certain region. Also, a user's usage metadata (e.g., bridge choices) collected by Tor BridgeDB would inevitably reveal sensitive information about the user, discouraging the use of this censorship-circumvention service. In light of them, we introduce HiddenTor, a user-centric and privacy-focused bridge distribution system that allows Tor users to retrieve bridges privately and precisely (i.e., based on a range of specific criteria). At its core, HiddenTor designs a condition-based private information retrieval (PIR) protocol by building atop a suite of lightweight cryptographic primitives (i.e., function secret sharing). Besides, HiddenTor also crafts several optimization designs to balance the trade-offs between query efficiency and service reliability. The extensive experimental results have confirmed the feasibility and practicality of HiddenTor. For example, our prototype can efficiently handle private queries over 3000 bridges in approximately 2 seconds, which can further be reduced to 0.21 seconds using parallel computing techniques.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 44th International Conference on Distributed Computing Systems, ICDCS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1260-1271
Number of pages12
ISBN (Electronic)9798350386059
DOIs
StatePublished - 2024
Event44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024 - Jersey City, United States
Duration: 23 Jul 202426 Jul 2024

Publication series

NameProceedings - International Conference on Distributed Computing Systems
ISSN (Print)1063-6927
ISSN (Electronic)2575-8411

Conference

Conference44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024
Country/TerritoryUnited States
CityJersey City
Period23/07/2426/07/24

Keywords

  • Function Secret Sharing
  • Private Query
  • Tor

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