Deniable Anonymous Group Authentication

Abstract

In some situations, users need to authenticate as distinct members of some well-defined group, without revealing their individual identities: to validate and corroborate a leak, for example, or to count participants in a closed anonymous forum. Current group authentication techniques offering this capability, however, may de-anonymize users if an attacker later compromises their private keys. Addressing this under-explored risk, we present deniable anonymous group authentication (DAGA), the first anonymous authentication protocol offering proportionality, forward anonymity, and deniability in combination. To offer these properties, DAGA leverages a federation of collectively (but not individually) trusted servers. These servers collectively generate tags during authentication, which ensure client distinctness and proportionality, while cryptographically scrubbing information that could later de-anonymize clients. After an authentication round, clients and (honest) servers securely erase their ephemeral secrets, protecting clients from later de-anonymization even if an attacker eventually compromises all long-term client and server keys. A proof-of-concept prototype validates DAGA's practicality, authenticating a client into a 32-member group in one second, or into a 2048-member group in two minutes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 13, 2014
Accession Number
ADA624131

Entities

People

  • Benjamin Peterson
  • Brian Ford
  • David I. Wolinsky
  • Ewa Syta
  • Michael S. Fischer

Organizations

  • Yale University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymetric Encryption
  • Authentication
  • Communication Channels
  • Computations
  • Computer Science
  • Computers
  • Computing Devices
  • Cryptography
  • Elections
  • Governments
  • Identities
  • Models
  • Probability
  • Prototypes
  • Security Protocols
  • Simulators
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Cybersecurity.
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.