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Security enhanced BioEncoding for protecting iris codes

机译：安全性得到增强的BioEncoding，用于保护虹膜代码

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Improving the security of biometric template protection techniques is a key prerequisite for the widespread deployment of biometric technologies. BioEncoding is a recently proposed template protection scheme, based on the concept of cancelable biometrics, for protecting biometric templates represented as binary strings such as iris codes. The main advantage of BioEncoding over other template protection schemes is that it does not require user-specific keys and/or tokens during verification. Besides, it satisfies all the requirements of the cancelable biometrics construct without deteriorating the matching accuracy. However, although it has been shown that BioEncoding is secure enough against simple brute-force search attacks, the security of BioEncoded templates against more smart attacks, such as record multiplicity attacks, has not been sufficiently investigated. In this paper, a rigorous security analysis of BioEncoding is presented. Firstly, resistance of BioEncoded templates against brute-force attacks is revisited thoroughly. Secondly, we show that although the cancelable transformation employed in BioEncoding might be non-invertible for a single protected template, the original iris code could be inverted by correlating several templates used in different applications but created from the same iris. Accordingly, we propose an important modification to the BioEncoding transformation process in order to hinder attackers from exploiting this type of attacks. The effectiveness of adopting the suggested modification is validated and its impact on the matching accuracy is investigated empirically using CASIA-IrisV3-Interval dataset. Experimental results confirm the efficacy of the proposed approach and show that it preserves the matching accuracy of the unprotected iris recognition system
机译：提高生物识别模板保护技术的安全性是生物识别技术广泛部署的关键前提。 BioEncoding是基于可取消生物特征的概念最近提出的模板保护方案，用于保护以二进制字符串（例如虹膜代码）表示的生物特征模板。与其他模板保护方案相比，BioEncoding的主要优势在于，它在验证过程中不需要用户特定的密钥和/或令牌。此外，它满足了可取消的生物识别结构的所有要求，而不会降低匹配精度。但是，尽管已证明BioEncoding对付简单的暴力搜索攻击是足够安全的，但尚未对BioEncoded模板对诸如记录多重性攻击之类的更智能攻击的安全性进行足够的研究。在本文中，对BioEncoding进行了严格的安全性分析。首先，彻底重新审视了BioEncoded模板对暴力攻击的抵抗力。其次，我们表明，尽管对于单个受保护模板，在BioEncoding中采用的可取消转换可能是不可逆的，但可以通过关联在不同应用程序中使用但由同一虹膜创建的多个模板来反转原始虹膜代码。因此，我们建议对BioEncoding转换过程进行重要的修改，以阻止攻击者利用这种类型的攻击。通过使用CASIA-IrisV3-Interval数据集，验证了采用建议的修改的有效性，并通过经验研究了其对匹配精度的影响。实验结果证实了该方法的有效性，并表明该方法保留了未保护的虹膜识别系统的匹配精度

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