An information theoretic framework for biometric security systems

Lifeng Lai, Siu Wai Ho, H. Vincent Poor

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

1 Scopus citations


An information theoretic framework is established to analyze the performance of biometric security systems. Two performance metrics, namely privacy, measured by the normalized equivocation rate of the biometric measurements, and security, measured by the rate of the key generated from the biometric measurements, are first defined. A fundamental tradeoff between these two metrics is then identified. The scenario in which a potential attacker does not have side information is considered first. The privacy-security region, which characterizes the above-noted tradeoff, is derived for this case. An important role of common information among random variables is revealed in perfect privacy biometric security systems. The scenario in which the attacker has side information is then considered. Inner and outer bounds on the privacy- security tradeoff are derived in this case.

Original languageEnglish (US)
Title of host publicationAdvances in Biometrics - Third International Conference, ICB 2009, Proceedings
Number of pages10
StatePublished - 2009
Event3rd International Conference on Advances in Biometrics, ICB 2009 - Alghero, Italy
Duration: Jun 2 2009Jun 5 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5558 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Advances in Biometrics, ICB 2009

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Biometric
  • Entropy
  • Mutual Information
  • Privacy
  • Security


Dive into the research topics of 'An information theoretic framework for biometric security systems'. Together they form a unique fingerprint.

Cite this