Customisation of Paillier Homomorphic Encryption for Efficient Binary Biometric Feature Vector Matching

被引：0

作者：

Penn, Georg M. ^{[1
]}

Poetzelsberger, Gerhard ^{[1
]}

Rohde, Martin ^{[1
]}

Uhl, Andreas ^{[1
]}

机构：

[1] Univ Salzburg, Dept Comp Sci, J Haringerstr 2, A-5020 Salzburg, Austria

来源：

2014 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Computing the Hamming weight between binary biometric feature vectors in a homomorphic encryption domain can be rather inefficient due to the required bit-wise 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.

引用

页数：6

共 14 条

[1] Privacy-Preserving Biometric Matching Using Homomorphic Encryption
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