Fuzzy Vault Crypto Biometric Key Based on Fingerprint Vector Features

M.S. AlTarawneh, W. L. Woo, S. Dlay
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引用次数: 13

Abstract

This paper presents feature vector based fuzzy vault method for cryptographic key generation from fingerprint data. The proposed method not only outputs high entropy keys, but also conceals the original biometric data such that it is impossible to recover the biometric data even when the stored information in the system is open to an attacker. Simulated results have demonstrated that constructed fuzzy vault crypto biometric key based on fingerprint vector features addresses a replacement of minutiae fingerprint vault representation, where the vector features are used to form the lock set. The size of the fuzzy vault and the degree of the underlying polynomial are needed for reaching the reliable investigated binded key. This results in a high unlocking complexity for attackers with an acceptable unlocking accuracy for the legal users.
基于指纹矢量特征的模糊保险库加密生物识别密钥
提出了一种基于特征向量的模糊拱顶算法,用于指纹数据的密钥生成。该方法不仅输出高熵密钥,而且隐藏了原始生物特征数据,即使系统中存储的信息向攻击者开放,也无法恢复生物特征数据。仿真结果表明,基于指纹矢量特征构建的模糊保险库密码生物识别密钥解决了指纹保险库细节表示的替换问题,其中矢量特征用于形成锁集。为了得到可靠的调查绑定密钥,模糊拱顶的大小和底层多项式的程度是必需的。这导致攻击者的解锁复杂性很高,而合法用户的解锁精度可以接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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