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Massachusetts Institute of Technology

Strong and scalable metadata security for voice calls

Abstract

dc:description.abstract

This dissertation presents a scalable approach to protecting metadata (who is communicating with whom) in a communication system. The emphasis in this dissertation is on hiding metadata for voice calls, but the approach is applicable to any two-way communication between users. Our approach is embodied in a new system named Yodel, the first system for voice calls that hides metadata from a powerful adversary that controls the network and compromises servers. Voice calls require sub-second message latency, but low latency has been difficult to achieve in prior work where processing each message requires an expensive public key operation at each hop in the network. Yodel avoids this expense with the idea of self-healing circuits, reusable paths through a mix network that use only fast symmetric cryptography. Once created, these circuits are resilient to passive and active attacks from global adversaries. Creating and connecting to these circuits without leaking metadata is another challenge that Yodel addresses with the idea of guarded circuit exchange, where each user creates a backup circuit in case an attacker tampers with their traffic. We evaluate Yodel across the internet and it achieves acceptable voice quality with 990 ms of latency for 5 million simulated users.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lazar, David,Ph.D.Massachusetts Institute of Technology.
Advisor dc:contributor.advisor
  • Nickolai Zeldovich.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/128316
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/128316

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lazar, David,Ph.D.Massachusetts Institute of Technology.. Strong and scalable metadata security for voice calls. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128316