Stadium: A Distributed Metadata-Private Messaging System

Nirvan Tyagi, Yossi Gilad, Derek Leung, Matei Zaharia, Nickolai Zeldovich

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

79 Scopus citations

Abstract

Private communication over the Internet remains a challenging problem. Even if messages are encrypted, it is hard to deliver them without revealing metadata about which pairs of users are communicating. Scalable anonymity systems, such as Tor, are susceptible to traffic analysis attacks that leak metadata. In contrast, the largest-scale systems with metadata privacy require passing all messages through a small number of providers, requiring a high operational cost for each provider and limiting their deployability in practice. This paper presents Stadium, a point-to-point messaging system that provides metadata and data privacy while scaling its work efficiently across hundreds of low-cost providers operated by different organizations. Much like Vuvuzela, the current largest-scale metadata-private system, Stadium achieves its provable guarantees through differential privacy and the addition of noisy cover traffic. The key challenge in Stadium is limiting the information revealed from the many observable traffic links of a highly distributed system, without requiring an overwhelming amount of noise. To solve this challenge, Stadium introduces techniques for distributed noise generation and differentially private routing as well as a verifiable parallel mixnet design where the servers collaboratively check that others follow the protocol. We show that Stadium can scale to support 4× more users than Vuvuzela using servers that cost an order of magnitude less to operate than Vuvuzela nodes.

Original languageAmerican English
Title of host publicationSOSP 2017 - Proceedings of the 26th ACM Symposium on Operating Systems Principles
PublisherAssociation for Computing Machinery, Inc
Pages423-440
Number of pages18
ISBN (Electronic)9781450350853
DOIs
StatePublished - 14 Oct 2017
Externally publishedYes
Event26th ACM Symposium on Operating Systems Principles, SOSP 2017 - Shanghai, China
Duration: 28 Oct 201731 Oct 2017

Publication series

NameSOSP 2017 - Proceedings of the 26th ACM Symposium on Operating Systems Principles

Conference

Conference26th ACM Symposium on Operating Systems Principles, SOSP 2017
Country/TerritoryChina
CityShanghai
Period28/10/1731/10/17

Bibliographical note

Publisher Copyright:
© 2017 Copyright held by the owner/author(s). Publication rights licensed to Association for Computing Machinery.

Keywords

  • Anonymous communication
  • Differential privacy
  • Mixnet
  • Verifiable shuffle

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