Comments on "PassBio: Privacy-Preserving User-Centric Biometric Authentication"

被引：6

作者：

Kwon, Hee-Yong ^{[1
]}

Lee, Mun-Kyu ^{[1
]}

机构：

[1] Inha Univ, Dept Elect & Comp Engn, Incheon 22212, South Korea

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2022年 / 17卷

关键词：

Authentication; Biometrics (access control); Protocols; Privacy; Malware; Approximation algorithms; Transforms; Biometric authentication; data security and privacy; predicate encryption; malicious client;

D O I：

10.1109/TIFS.2022.3195380

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In 2018, in the above article, Zhou and Ren proposed PassBio, a privacy-preserving biometric authentication scheme. PassBio delivers its promise and effectively protects users' privacy from malicious servers. However, we demonstrate that PassBio may be vulnerable in a more inclusive attack model with malicious clients.

引用

页码：2816 / 2817

页数：2

共 5 条

[1]

[Anonymous], 2019, TRUSTED PLATFORM MOD

[2] SEMBA: secure multi-biometric authentication [J].