Privacy Preserving Identification: Order Statistics List Decoding Perspective

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.