Identification with Encrypted Biometric Data

Computer Science – Cryptography and Security

Scientific paper

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An extended abstract -- entitled "Error-Tolerant Searchable Encryption" -- of this work has been accepted to and will be prese

Scientific paper

Biometrics make human identification possible with a sample of a biometric trait and an associated database. Classical identification techniques lead to privacy concerns. This paper introduces a new method to identify someone using his biometrics in an encrypted way. Our construction combines Bloom Filters with Storage and Locality-Sensitive Hashing. We apply this error-tolerant scheme, in a Hamming space, to achieve biometric identification in an efficient way. This is the first non-trivial identification scheme dealing with fuzziness and encrypted data.

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