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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-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. © 2024 IEEE.
Original languageEnglish
Title of host publication2024 IEEE 44th International Conference on Distributed Computing Systems
Subtitle of host publicationICDCS 2024
PublisherIEEE
Pages1260-1271
ISBN (Electronic)979-8-3503-8605-9
ISBN (Print)979-8-3503-8606-6
DOIs
Publication statusPublished - 2024
Event44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024) - Jersey City, United States
Duration: 23 Jul 202426 Jul 2024
https://icdcs2024.icdcs.org/

Publication series

NameProceedings of the IEEE 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)
PlaceUnited States
CityJersey City
Period23/07/2426/07/24
Internet address

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Funding

We sincerely thank all anonymous reviewers for their useful comments and instructions. This work was funded in part by CityU of HK under Grants 9678146 and 9678126, by HK RGC under Grants CityU 11218521, 11218322, R6021-20F, R1012-21, RFS2122-1S04, C2004-21G, C1029-22G, and N CityU139/21, by National Nature Science Foundation of China under Grants 62202398, 62202228, by Guangdong Basic and Applied Basic Research Foundation under Grant 2023A151514 0137, by the Natural Science Foundation of Jiangsu Province under Grant BK20210330, by the Fundamental Research Funds for the Central Universities 30923011023, and by InnoHK initiative, the Government of the HKSAR, and Laboratory for AI-Powered Financial Technologies.

Research Keywords

  • Tor
  • Private Query
  • Function Secret Sharing

RGC Funding Information

  • RGC-funded

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