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NOISE ROBUST HELPER DATA SYSTEM (HDS)

机译:噪声强大的帮助数据系统(HDS)

摘要

The present invention discloses a method for performing authentication (AUTH) of a requester in a helper data system (HDS). Initially, there is provided a first feature vector ( (X+N) ), the feature vector comprising a vector of sets, and thereafter a permutation of the first feature vector is performed resulting in a corresponding collection of permutated feature vectors ({(X+N)'}). A collection of codes ({C'}) is generated from the collection of permutated feature vectors ({(X+N)}') using helper data (W), and finally a comparison of the collection of codes ({C'}) with a reference code (C) from a corresponding enrollment to find a match. The invention also relates to a similar method for performing enrollment (ENRL) in a helper data system (HDS), the method comprising instead a permutation of the first feature vector during enrollment resulting in corresponding collection of permutated feature vectors ({X'}).The invention is advantageous for obtaining a helper data concept that may operate on features organized as a collection of feature vectors, the feature vectors comprising of sets, such as the ones used to represent short tandem repeat (STR) profiles, and cope with a limited number of errors in profiles during authentication.
机译:本发明公开了一种用于在辅助数据系统(HDS)中执行请求者的认证(AUTH)的方法。最初,提供第一特征向量((X + N)),该特征向量包括集合的向量,然后执行第一特征向量的置换,得到置换特征向量的对应集合({{X + N)'})。使用辅助数据(W)从排列的特征向量({(X + N)}')的集合中生成代码的集合({C'}),最后对代码的集合({C'} )与来自相应注册的参考代码(C)来查找匹配项。本发明还涉及一种用于在辅助数据系统(HDS)中执行注册(ENRL)的类似方法,该方法包括在注册过程中对第一特征向量进行置换,从而得到相应的置换特征向量({X'})集合。本发明对于获得可以对组织为特征向量的集合的特征进行操作的辅助数据概念是有利的,该特征向量包括多个集合,例如用于表示短串联重复(STR)简档的集合,并应对身份验证期间配置文件中的错误数量有限。

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