生物识别系统的爬山和暴力攻击:匹配卡指纹验证的案例研究

M. Martinez-Diaz, Julian Fierrez, F. Alonso-Fernandez, J. Ortega-Garcia, J.A. Siguenza
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引用次数: 78

摘要

在本文中,我们研究了最先进的自动指纹验证系统对爬山和暴力攻击的鲁棒性。我们比较了两种不同的基于细节的系统,NIST指纹图像软件2 (NFIS2)参考系统和基于卡片匹配的系统的这种攻击的性能。为了研究它们的成功率,在每个场景中对攻击进行分析和修改。我们关注爬坡攻击中初始条件的影响,比如合成模板中的细节数量或模板中每种修改类型的性能。我们演示了爬坡算法的微小修改如何导致非常不同的成功率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hill-Climbing and Brute-Force Attacks on Biometric Systems: A Case Study in Match-on-Card Fingerprint Verification
In this paper, we study the robustness of state-of-the-art automatic fingerprint verification systems against hill climbing and brute-force attacks. We compare the performance of this type of attacks against two different minutiae-based systems, the NIST Fingerprint Image Software 2 (NFIS2) reference system and a Match-on-Card based system. In order to study their success rate, the attacks are analyzed and modified in each scenario. We focus on the influence of initial conditions in hill-climbing attacks, like the number of minutiae in the synthetically generated templates or the performance of each type of modification in the template. We demonstrate how slight modifications in the hill-climbing algorithm lead to very different success rates
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