基于量子模糊承诺体系的生物身份认证系统研究

项目名称： 基于量子模糊承诺体系的生物身份认证系统研究

项目编号： No.61502376

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 石莎

作者单位： 西安电子科技大学

项目金额： 22万元

中文摘要： 模糊承诺体系是实现生物身份认证的关键密码原型，如何构造安全可靠的模糊承诺体系一直是生物身份认证中的核心问题。针对目前基于数学问题的模糊承诺系统的无条件安全性的不可证明以及无法从根本上克服数字模仿攻击的问题，本项目提出基于无条件安全量子比特承诺协议和量子差错控制理论构造量子模糊承诺体系的方法, 并拟给出其在构造安全性基于物理原理的生物身份认证系统中的应用。具体包括：（1）基于无条件安全量子比特承诺的量子模糊承诺体系的构建；（2）量子模糊承诺体系的安全性分析及其密钥率与秘密泄露率刻画；（3）生物特征信息在量子模糊承诺体系中的加载。希望通过量子密码与编码技术的融合，为实现安全性基于物理原理的模糊承诺体系提供新的方法，解决目前生物身份认证系统所面临的安全隐患，推动无条件安全的生物身份认证系统的实现。

中文关键词： 安全协议；信息安全；生物模板保护；生物身份认证；量子安全认证

英文摘要： Fuzzy commitment schemes are key cryptographic primitives and necessary to biometric authentication, constructing security and reliable fuzzy commitment is evidently the central question of biometric authentication. Considering the security of existing fuzzy commitment schemes is based on unproven mathematical assumptions and is obviously not unconditionally secure against digital emulation attacks, in this project, we are planning introduce the latest unconditional secure quantum bit commitment and quantum error control theory into the biometric authentication by constructing a quantum fuzzy commitment scheme. More precisely, we are going to explore: (1) The design of quantum fuzzy commitment scheme based on unconditional secure quantum bit commitment and quantum error correction；（2）The study on the security of the constructed quantum fuzzy commitment and the related secret-key rate and the privacy leakage; (3) The loading of biometric information for the quantum fuzzy commitment scheme. Summary, we are aiming to combine the quantum cryptography and quantum error correction to offer a new perspective for the construction of fuzzy commitment schemes whose security relies on the physics principles but not on the unproven mathematical assumptions, thereby presenting a remarkable way to solve the problems associate with the existing biometric authentication and providing a strong support for the unconditional secure biometric authentication.

英文关键词： security protocol;information security;biometric template protection;biometric authentication;quantum-security authentication