Auflistung nach Autor:in "Penn, Georg M."
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- KonferenzbeitragCustomisation of paillier homomorphic encryption for efficient binary biometric feature vector matching(BIOSIG 2014, 2014) Penn, Georg M.; Pötzelsberger, Gerhard; Rohde, Martin; Uhl, AndreasComputing 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.