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

被引：5
|
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
收藏
页码：2816 / 2817
页数：2
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