Abstract :
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In this paper, we extend the information theoretic secure
constructions for biometrics to the computational setting. Based on
semantically secure encryption, we introduce robust, fully private
and secure biometric key distillation and verification. Our model
incorporates an adversary with side information who has access to a
database with reference information. Even though our schemes are
based on a master key, no master key needs to be stored in biometric
sensors. In our scheme it is possible to derive a polynomial number
of keys from a single biometric and we show how to renew keys in a
secure and private way without additional interaction with the user.
Previous work considers unconditional secure key distillation which
can at most reach partial (information theoretic) privacy and which
can only lead to a small number of keys for each biometric.
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