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Customisation of paillier homomorphic encryption for efficient binary biometric feature vector matching

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2014

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Gesellschaft für Informatik e.V.

Zusammenfassung

Computing the Hamming weight between binary biometric feature vectors in a homomorphic encryption domain can be rather inefficient due to the required bitwise encryption. A biometric matching technique more efficient than the Goldwasser- Micali approach is proposed based on exploiting Paillier's capability of encrypting messages larger than one bit at a time. The efficiency is documented in an iris identification context.

Beschreibung

Penn, Georg M.; Pötzelsberger, Gerhard; Rohde, Martin; Uhl, Andreas (2014): Customisation of paillier homomorphic encryption for efficient binary biometric feature vector matching. BIOSIG 2014. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-624-4. pp. 133-144. Darmstadt. 10.-12. September 2014

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