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Design and implementation for secure embedded biometric authentication systems.

机译：安全嵌入式生物特征认证系统的设计和实现。

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摘要

Embedded personal authentication systems based on biometric information offers great security and convenience. The biometric processing is data intensive and the implementation on a resource-constrained mobile device is required to be efficient in terms of speed, memory, as well as energy consumption. Due to the uniqueness of the biometrics, the storage of the reference template is a key factor for the system security and especially for portable embedded devices. Thus it is essential to protect the template from possible attacks. Therefore the two major design challenges for developing secure embedded personal authentication systems based on biometrics is efficient implementation and system security.; The first part of this dissertation is about to efficient implementation for a fingerprint based authentication system targeting on embedded mobile devices. As the result of the HW/SW optimization, the execution time decreases from 9 second for fixed-point baseline algorithm to 4 second running on 50MHz LEON-2 microprocessor, gaining a 65% speed improvement. A memory analysis methodology is proposed to estimate the program run-time memory requirement, based on which various optimization techniques are employed, lowering the system memory requirement from over 1.5Mbytes to less than 500Kbytes.; The second part of this dissertation is dedicated to addressing the system security for embedded biometric authentication devices. A local structure based secure matching algorithm for fingerprint verification is introduced and the secure partitioning strategy is adopted to construct an oracle-based matching block using the logic level DPA-proof technique. Cryptographic biometrics are adopted to protect the biometric authentication system on the algorithm level. A template-protected fingerprint matching algorithm based fuzzy vault scheme is proposed, where a non-invertible form of the biometric features and a machine-generated random bit series is stored as the secret instead of the biometric templates. A micro-coded coprocessor, FV16, is designed to allow for a programmable yet high efficient implementation, which gaining 10-times cycle count improvement. In extension, the template-protected matching strategy based on the Error Correct Code (ECC) technique is proposed for iris recognition systems.
机译：基于生物特征信息的嵌入式个人身份验证系统提供了极大的安全性和便利性。生物特征处理是数据密集型的，并且在速度，内存和能耗方面都要求在资源受限的移动设备上实现高效。由于生物识别技术的独特性，参考模板的存储是系统安全性尤其是便携式嵌入式设备的关键因素。因此，保护​​模板免受可能的攻击至关重要。因此，基于生物识别技术开发安全的嵌入式个人认证系统的两个主要设计挑战是有效的实施和系统的安全性。本文的第一部分是关于针对嵌入式移动设备的基于指纹的身份验证系统的有效实现。硬件/软件优化的结果是，执行时间从定点基线算法的9秒减少到在50MHz LEON-2微处理器上运行的4秒，速度提高了65％。提出了一种内存分析方法来估计程序运行时的内存需求，在此基础上采用了各种优化技术，从而将系统内存需求从超过1.5Mbytes降低到了不足500Kbytes。本文的第二部分致力于解决嵌入式生物特征认证设备的系统安全性。介绍了一种用于指纹验证的基于局部结构的安全匹配算法，并采用安全分区策略，采用逻辑级DPA证明技术构造了基于oracle的匹配块。采用密码生物识别技术在算法级别保护生物识别系统。提出了一种基于模板保护的指纹匹配算法的模糊保险库方案，其中以生物特征的不可逆形式和机器生成的随机位序列作为秘密存储而不是生物特征模板。微代码协处理器FV16旨在实现可编程但高效的实现，从而将周期计数提高了10倍。扩展地，针对虹膜识别系统，提出了一种基于纠错码（ECC）技术的模板保护匹配策略。

著录项

  • 作者

    Yang, Shenglin.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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