CT-ISG Security and Privacy of Biometric Templates: Theory and Practice

该项目的主要目标是开发简单，实用和可证明有效的加密技术，以确保生物特征数据的安全和隐私。拟议的研究将制定严格的概念，安全和隐私的真实的世界的生物特征数据，这可能是连续的，并与复杂的相似性措施。这将通过开发容错技术来实现，这些技术可用于实现目标安全和隐私要求。所提出的方法主要是基于最近的发展，在容错密码学围绕一个安全的草图的想法。事实上，众所周知的容错方案，如模糊承诺和模糊保险库可以被认为是安全草图的一般概念的特殊情况。安全草图框架是保护生物特征数据的一种很有前途的方法。它不仅更适合与信号处理技术结合应用于真实的生物特征数据，而且在合理的假设下提供可证明的安全性。开发的技术将被实施，并将进行调查，他们的表现方面的假接受和假拒绝沿着和性能和安全之间的权衡分析。还将开发各种威胁模式下生物统计应用的实用密码协议。此外，还将研究使用多模式生物特征和/或多因素方案来增强安全性的技术。

The main objective of this project is to develop simple, practical and provably effective cryptographic techniques for the security and privacy of biometric data. The proposed research will formulate rigorous notions of security and privacy for real world biometric data, which may be continuous and with complex similarity measures. This will be done by developing error-tolerant techniques that can be applied to achieve the targeted security and privacy requirements. The proposed approach is mainly based on recent devel-opments in error-tolerant cryptography centered around the idea of a secure sketch. In fact, well known error tolerant schemes like fuzzy commitment and fuzzy vault can be considered as special cases of the general notion of secure sketch. The secure sketch framework is a promising approach for protecting biometric data. Not only is it more amenable to combination with signal processing techniques for application to real biometric data, but it also provides provable security under reasonable assumptions. The techniques developed will be implemented and an investigation of their performance in terms of false accepts and false rejects will be carried out along with and analysis of the trade-off between the performance and the security. Practical cryptographic protocols for biometric applications under a variety of threat models will also be developed. Furthermore, techniques to enhance security using multimodal biometrics and/or multi-factor schemes will be studied.