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A key agreement problem is considered that has a biometric or physicalidentifier, a terminal for key enrollment, and a terminal for reconstruction. Anested convolutional code design is proposed that performs vector quantizationduring enrollment and error control during reconstruction. Physical identifierswith small bit error probability illustrate the gains of the design. Onevariant of the nested convolutional codes improves on the best known key vs.storage rate ratio but it has high complexity. A second variant with lowercomplexity performs similar to nested polar codes. The results suggest that thechoice of code for key agreement with identifiers depends primarily on thecomplexity constraint.

Nested Tailbiting Convolutional Codes for Secrecy, Privacy, and Storage