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Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

机译:使用同态加密的隐私保护掌纹认证

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摘要

Biometric verification systems have security issues regarding the storage of biometric data in that a user's biometric features cannot be changed into other ones even when a system is compromised. To address this issue, it may be safe to store the biometrics data on a reliable remote server instead of storing them in a local device. However, this approach may raise a privacy issue. In this paper, we propose a biometric verification system where the biometric data are stored in a remote server in an encrypted form and the similarity of the user input to the registered biometric data is computed in an encrypted domain using a homomorphic encryption. We evaluated the performance of the proposed system through an implementation on an Android-based smartphone and an i7-based server.
机译:生物特征验证系统存在有关生物特征数据存储的安全性问题,因为即使系统受到损害,用户的生物特征也无法更改为其他特征。为了解决此问题,将生物特征数据存储在可靠的远程服务器上而不是将其存储在本地设备中可能是安全的。但是,这种方法可能会引起隐私问题。在本文中,我们提出了一种生物特征验证系统,其中,生物特征数据以加密形式存储在远程服务器中,并且使用同态加密在加密域中计算用户输入的与注册生物特征数据的相似性。我们通过在基于Android的智能手机和基于i7的服务器上的实现对提出的系统的性能进行了评估。

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