Biological characteristic point topological structure-based random number generator

Abstract

The invention relates to a biological characteristic point topological structure-based random number generator, in particular to a biological characteristic point topological structure-based random number manufacturing method. The invention aims to provide a random number generator for generating information containing a biological characteristic point topological structure. The method is technically characterized by comprising the following steps: setting an input interface to connect a G data acquisition module to acquire G variable data, setting a step of performing program data structured processing for input biological characteristic point topological structure matrix data and assigning the G for the G data acquisition module, setting an input interface to connect a K acquisition module to acquire K variable data, setting the traditional random number generator in the K acquisition module, performing random displacement and rotating operation processing for the input G data and the K according to a formula that GK is equal to P, and splicing point coordinate parameters of the P data in turn to form a random number containing the a biological characteristic point topological structure information for an authenticated key.

Description

Technical field: [0001] The invention relates to the random number generator technology of cryptography, also relates to the biometric pattern recognition technology of biometric authentication, in particular to a method for making random numbers based on the topological structure of biometric feature points. Background technique: [0002] The current standard random number generators mainly include ANSI X9.17 and FIPS 186 approved by the US Federal Information Processing Standard (FIPS) for generating DES keys and their initial vectors. In addition, the well-known secure random generators in cryptography also include Micali-Schnorr proposed by S.micali and C.P.Schnorr, and Blum-Blum-Shub proposed by L.Blum, M.blum and M.Shub, etc. random number generator. [0003] The above random number generator can be called a traditional random number generator. The random number generated by the traditional random number generator has randomness and thus privacy, so it can be used as...

AI Technical Summary

Problems solved by technology

The random number generated by the traditional random number generator has randomness and thus privacy, so it can be used as a key in cryptography; but the random number used as the key cannot contain the key user's biological feature point topology Structural information, so that the key cannot be authenticated using human biometrics

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