Privacy preserving identification : order statistics list decoding perspective

F. Farhadzadeh, S. Voloshynovskiy, O. Koval

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


In this paper, the performance of privacy preserving Biometric/Physical Unclonable Function identification based on the order statistic list decoding is analyzed by evaluating the corresponding probabilities of correct identification and false acceptance. We demonstrate the impact of candidate list size on the identification system performance and compare it with the unique identification setup. Finally, the influence of privacy amplification on the system performance is analyzed.
Original languageEnglish
Title of host publicationProceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 15-17 October 2010, Darmstadt, Germany
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-0-7695-4222-5
Publication statusPublished - 2010


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