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Biometric encryption based on a fuzzy vault scheme with a fast chaff generation algorithm

机译：基于模糊保险库方案和快速谷壳生成算法的生物特征加密

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摘要

Fuzzy vault is a scheme that complements traditional cryptographic security systems by combining it with biometric authentication to overcome the security vulnerability inherent in cryptographic key storage. Biometric encryption systems based on fuzzy vault scheme are suitable for stand-alone security and authentication devices in the form of system-on-chip (SoC). However, the current fuzzy vault scheme has too many compute-intensive processes to make this feasible for SoC implementation. The most critical but compute-intensive function in the fuzzy vault scheme is the chaff generation which produces noise (chaff) points that hide the valid points inside the vault template. In this paper, we propose a new chaff generation algorithm which is computationally fast and viable for hardware acceleration by employing simple arithmetic operations. Complexity study shows that our algorithm has a complexity of O(n~2), which is a significant improvement over the existing method that exhibits O(n~3) complexity. Our experimental results show that, to generate 500 chaff points, the proposed algorithm gives a performance speed-up of over 140 times over existing Clancy's algorithm. With the new chaff generation algorithm, it becomes much more amenable to implement the fuzzy vault scheme in the resource-constrained environment of system-on-chip.
机译：模糊保管库是一种方案，通过将其与生物特征认证结合使用来弥补传统密码安全系统的不足，从而克服了密码密钥存储固有的安全漏洞。基于模糊保险库方案的生物特征加密系统适合片上系统（SoC）形式的独立安全性和身份验证设备。但是，当前的模糊保管库方案具有太多的计算密集型过程，因此对于SoC实施而言不可行。在模糊保管库方案中最关键但计算量很大的功能是谷壳生成，它产生噪声（查夫）点，从而将有效点隐藏在库模板内。在本文中，我们提出了一种新的谷壳生成算法，该算法可通过使用简单的算术运算来快速计算并适用于硬件加速。复杂度研究表明，我们的算法具有O（n〜2）的复杂度，这是对显示O（n〜3）复杂度的现有方法的重大改进。我们的实验结果表明，与现有的Clancy算法相比，所提出的算法能够产生500个糠ff点，性能提高了140倍以上。使用新的谷壳生成算法，可以在资源受限的片上系统环境中实施模糊库方案。

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  • 来源
    《Future generation computer systems》 |2013年第3期|800-810|共11页
  • 作者

    Mohamed Khalil-Hani; Muhammad N. Marsono; Rabia Bakhteri;

  • 作者单位

    Department of Microelectronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;

    Department of Microelectronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;

    Department of Microelectronics & Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biometrics; applied cryptography; encryption; authentication; chaff generation; data security;

    机译：生物识别;应用密码学;加密;认证;谷壳产生;数据安全;

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