Creating effective fingerprint artefacts: a cooperative and a non-cooperative method for bypassing capacitive and optical sensors with high success rate

Ryan Carvalho, Norbert Tihanyi
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引用次数: 1

Abstract

Many Presentation Attack Detection methods (PAD) were introduced recently to enhance the security of biometric sensors, however, most of them are not implemented in commercial devices. In this paper we present both a cooperative and a non-cooperative direct attack method to bypass fingerprint sensors (optical scanners, capacitive scanners) used in modern embedded devices. Using the cooperative method 86%-100% Impostor Attack Presentation Match Rate (IAPMR) can be achieved on optical and capacitive sensors using a combination of Ethylene-Vinyl Acetate -(C2H4)n(C4H6O2)n- commonly known as “hot glue” and Polyvinyl Acetate -(C4H6O2)n- commonly known as “white glue” or “school glue”. The cooperative method takes 5–10 minutes and costs no more than $5 which makes it very lucrative and accessible to anyone. We were able to achieve these high success rates on the latest hardware such as the Windows Hello Framework or certified high security devices. Using the non-cooperative method we were able to achieve 98% IAPMR on optical sensors. During the experiment the following devices were tested: Suprema Biostation 2, 2019 Macbook Air, 2017 MacBook Pro, HUAWEI P9, HUAWEI P20, Lexar F35 encrypted USB drive, ASUS Zenbook UX461F Z14, iPhone 8. The whole process is precisely documented and disclosed in this paper for the research community.
创建有效的指纹伪迹:一种高成功率绕过电容式和光学传感器的合作和非合作方法
为了提高生物识别传感器的安全性,近年来提出了许多表示攻击检测方法(PAD),但大多数方法尚未在商用设备中实现。在本文中,我们提出了一种合作和非合作的直接攻击方法来绕过现代嵌入式设备中使用的指纹传感器(光学扫描仪,电容扫描仪)。使用协作方法,使用乙烯-醋酸乙烯-(C2H4)n(C4H6O2)n(俗称“热胶”)和聚醋酸乙烯-(C4H6O2)n(俗称“白胶”或“学校胶”)的组合,可以在光学和电容传感器上实现86%-100%的冒名顶替攻击呈现匹配率(IAPMR)。这种合作的方法只需要5 - 10分钟,花费不超过5美元,这使得它非常有利可图,任何人都可以使用。我们能够在最新的硬件(如Windows Hello Framework)或经过认证的高安全性设备上实现这些高成功率。使用非合作方法,我们可以在光学传感器上实现98%的IAPMR。实验中测试了以下设备:Suprema Biostation 2、2019 Macbook Air、2017 Macbook Pro、HUAWEI P9、HUAWEI P20、Lexar F35加密USB驱动器、ASUS Zenbook UX461F Z14、iPhone 8。整个过程在本文中被精确地记录和披露给研究界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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