Biometric fingerprint authentication method based on quantum fuzzy commitment

Abstract

The invention discloses a biometric fingerprint authentication method based on a quantum fuzzy commitment, which comprises a registration phase and an authentication phase. The registration phase comprises the following steps of: firstly, constructing a fuzzy commitment set to produce code words required for the commitment phase by using a quantum error correcting code space without self-dual constraint, and applying a noise addition transformation used for fuzzy proving to the code word; and then, constructing a quantum hash algorithm, and mixing, diffusing and encrypting a random quantum sequence so as to realize the security of using one key at one time in the sense of information theory. The authentication phase comprises the following step of opening the fuzzy commitment set by using a quantum fuzzy commitment to obtain random information for decrypting keys Messa. A new quantum fuzzy commitment system is constructed by combing the quantum hash algorithm on the basis of entangling assistant quantum error correcting codes. Compared with other similar fingerprint authentication methods, the biometric fingerprint authentication method based on a quantum fuzzy commitment has prominent advantages in the aspects of storage security and authentication security of biometric data, and the quantum biometric performance and the security of biological template information storage and transmission can be increased.

Description

technical field [0001] The invention relates to a construction method of quantum fuzzy commitment and fingerprint biometric authentication, and belongs to the technical field of database security and biometric authentication. Background technique [0002] The fuzzy commitment was first proposed by Juels A et al. In the fuzzy commitment, the promiser hashes the promise bits, and adds the content of the promise (in bit form) and the promise proof modulo 2, and provides the two results to the receiver; open The proof of commitment submitted in the phase does not have to be exactly the same as the proof in the commitment phase. The two can be similar values ​​on a certain scale (such as Hamming distance, etc.), and the receiver can still successfully open the commitment and ensure binding. It is obviously different from Bit Commitment, and Fuzzy Commitment has been widely used in many fields due to its excellent properties. It is necessary to satisfy concealment and binding, an...

AI Technical Summary

Problems solved by technology

For example, the differences caused by different fingerprint sampling methods or parts, so this method of adding redundant (ie encoding) storage templates to messages is not very applicable

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