Privacy-Preserving Biometric Identification Using Secure Multiparty Computation

被引：95

作者：

Bringer, Julien

Chabanne, Herve

Patey, Alain

机构：

[1] Morpho (SAFRAN Group)

[2] Télécom ParisTech, Paris

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2013年 / 30卷 / 02期

关键词：

Privacy-preserving techniques - Anthropometry;

D O I：

10.1109/MSP.2012.2230218

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article presents a tutorial overview of the application of techniques of secure two-party computation (also known as secure function evaluation) to biometric identification. These techniques enable to compute biometric identification algorithms while maintaining the privacy of the biometric data. This overview considers the main tools of secure two-party computations such as homomorphic encryption, garbled circuits (GCs), and oblivious transfers (OTs) and intends to give clues on the best practices to secure a biometric identification protocol. It also presents recent trends in privacy-preserving biometric identification that aim at making it usable in real-life applications. © 1991-2012 IEEE.

引用

页码：42 / 52

页数：11

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