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On the realization of fuzzy identity-based identification scheme using fingerprint biometrics

机译:基于指纹识别的模糊身份识别方案的实现

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摘要

Fuzzy identity-based identification (FIBI) scheme is a recently proposed cryptographic identification protocol. The scheme utilizes user biometric trait as public keys. The authentication is deemed success in the presence of the genuine query biometric together with the valid private key. Because of the fuzziness nature of biometrics, FIBI does not correct the errors on the query biometric with respect to the public key; instead, it tolerates the errors using Lagrange polynomial interpolation. Therefore, FIBI requires the biometric trait to be represented in a discrete (binary or integer) array that is fixed in length. In this paper, we report the first realization of FIBI scheme by means of fingerprint biometrics using minutia representation where our technique integrates the security features of both biometric and cryptography effectively. The simulation shows that the entire protocol can be completed within 1 s where false acceptance rate (FAR)=0% and false reject rate (FRR) = 0.25% in FVC2002 DB1, and FAR = 0% and FRR = 0.125% in FVC2002 DB2. Our integration technique may also be applied on other fuzzy identity-based cryptosystems.
机译:基于模糊身份的识别(FIBI)方案是最近提出的密码识别协议。该方案利用用户生物特征作为公共密钥。如果存在真正的查询生物特征以及有效的私钥,则认为认证成功。由于生物识别的模糊性,FIBI不会更正查询生物识别中有关公钥的错误;相反,它使用Lagrange多项式插值来容忍错误。因此,FIBI要求生物特征以固定长度的离散(二进制或整数)数组表示。在本文中,我们报告了使用指纹细节识别技术通过指纹生物识别技术实现的FIBI方案的首次实现,其中我们的技术有效地融合了生物识别技术和密码学的安全性。仿真表明,整个协议可以在1 s内完成,其中FVC2002 DB1中的错误接受率(FAR)= 0%,错误拒绝率(FRR)= 0.25%,FVC2002 DB2中FAR = 0%且FRR = 0.125% 。我们的集成技术也可以应用于其他基于模糊身份的密码系统。

著录项

  • 来源
    《Security and communication networks》 |2012年第12期|1312-1324|共13页
  • 作者单位

    Faculty of Information and Communication Technology, Tunku Abdul Rahman University, Perak, Malaysia;

    Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia;

    School of Electrical and Electronic Engineering, Engineering College, Yonsei University, Seoul 120-749, South Korea,Predictive Intelligence Research Cluster, Sunway University, Bandar Sunway 46150, P.J. Selangor, Malaysia;

    Faculty of Engineering and Science, Tunku Abdul Rahman University, Kuala Lumpur, Malaysia;

    Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fuzzy identity-based identification; lagrange polynomial; biometrics; fingerprint;

    机译:基于身份的模糊识别拉格朗日多项式生物识别;指纹;

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