Modeling cryptographic properties of voice and voice-based entity authentication

Giovanni Di Crescenzo, Munir Cochinwala, Hyong S. Shim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Strong and/or multi-factor entity authentication protocols are of crucial importance in building successful identity management architectures. Popular mechanisms to achieve these types of entity authentication are biometrics, and, in particular, voice, for which there are especially interesting business cases in the telecommunication and financial industries, among others. Despite several studies on the suitability of voice within entity authentication protocols, there has been little or no formal analysis of any such methods. In this paper we embark into formal modeling of seemingly cryptographic properties of voice. The goal is to define a formal abstraction for voice, in terms of algorithms with certain properties, that are of both combinatorial and cryptographic type. While we certainly do not expect to achieve the perfect mathematical model for a human phenomenon, we do hope that capturing some properties of voice in a formal model would help towards the design and analysis of voicebased cryptographic protocols, as for entity authentication. In particular, in this model we design and formally analyze two voice-based entity authentication schemes, the first being a voice-based analogue of the conventional passwordtransmission entity authentication scheme. We also design and analyze, in the recently introduced bounded-retrieval model [4], one voice-and-password- based entity authentication scheme that is additionally secure against intrusions and brute-force attacks, including dictionary attacks.

Original languageEnglish (US)
Title of host publicationDIM'07 - Proceedings of the 2007 ACM Workshop on Digital Identity Management
Number of pages9
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 ACM Workshop on Digital Identity Management, DIM'07 - Fairfax, VA, United States
Duration: Nov 2 2007Nov 2 2007


Other2007 ACM Workshop on Digital Identity Management, DIM'07
Country/TerritoryUnited States
CityFairfax, VA

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Software


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