On the vulnerability of face verification systems to hill-climbing attacks

被引：66

作者：

Galbally, Javier ^{[1
]}

McCool, Chris ^{[2
]}

Fierrez, Julian ^{[1
]}

Marcel, Sebastien ^{[2
]}

Ortega-Garcia, Javier ^{[1
]}

机构：

[1] Univ Autonoma Madrid, EPS, Biometr Recognit Grp ATVS, E-28049 Madrid, Spain

[2] IDIAP Res Inst, CH-1920 Martigny, Switzerland

来源：

PATTERN RECOGNITION | 2010年 / 43卷 / 03期

关键词：

Biometrics; Face recognition; Security; Vulnerabilities; Hill-climbing;

D O I：

10.1016/j.patcog.2009.08.022

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we use a hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of two face recognition systems to indirect attacks. The attacking technique uses the scores provided by the matcher to adapt a global distribution computed from an independent set of users to, the local specificities of the client being attacked. The proposed attack is evaluated on an eigenface-based and a parts-based face verification system using the XM2VTS database. Experimental results demonstrate that the hill-climbing algorithm is very efficient and is able to bypass over 85% of the attacked accounts (for both face recognition systems). The security flaws of the analyzed systems are pointed Out and possible countermeasures to avoid them are also proposed. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1027 / 1038

页数：12

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