A method for generating commodity digital identity based on block chain

Abstract

The invention provides a method for generating commodity digital identity based on a block chain. The method can shield the differences of the coding mode, coding length, manufacturer name length, commodity category information, etc. of different manufacturers, and finally obtain a fixed-length digital identity, which is convenient for the digital management of the products of the manufacturers, and also conducive to the comprehensive management of the products, without the need of distinguishing the different details of each manufacturer. Two different hashing algorithms are adopted, which toa certain extent reduces the possibility of duplicate digital identities in the same system using the method, and reduces the possibility of digital identity collision. The ECDSA algorithm of asymmetric cryptosystem is adopted, which is called the elliptic curve digital signature algorithm. If the key is not disclosed, other people cannot generate the same digital identity according to the same commodity information; generated digital identities do not collide, that is, do not duplicate; the identity can only be generated by a vendor that owns a private key and cannot be forged.

Description

technical field [0001] The invention belongs to the technical field of commodity anti-counterfeiting verification, and in particular relates to a block chain-based digital identity generation method. Background technique [0002] At present, there are mainly three types of digital identity generation methods. One is artificial generation. In the same namespace, subsequent uniqueness verification is required to ensure uniqueness; namespace is the space composed of possible combinations of digital identities; the second is random generation by computer. , in a low-concurrency scenario, it is suitable to be generated centrally through a service and ensure the high availability of this service; the third is generated by the computer according to the naming convention, in a high-concurrency scenario, it is suitable to use a naming convention that guarantees the independence of the namespace , generated by multiple services in parallel. [0003] The first type of artificial gener...

AI Technical Summary

Problems solved by technology

[0004] The second type of method for randomly generating digital identities has the following disadvantages: (1) Ensure that digital identities have no collisions based on probability. When the namespace is small and the number of products is large, the possibility of digital identity conflicts will increase; As the primary key of the database, it is not good for the index; (3) too random, if it is applied to the management of similar products of different companies, it will require additional overhead to maintain which coded product belongs to which company

However, the method of adopting naming conventions has the following disadvantages: (1) When the amount of product data is very large, a sufficiently long digital identity code length can not only ensure naming conventions, but also ensure the uniqueness of product digital identity; (2) adopt continuous, or The digital identity code with a fixed step length makes it easy to guess the existence of other codes from one code; (3) when the products produced by similar companies need to be managed in a unified manner, it is difficult to manage them uniformly due to inconsistent naming standards; (4) the confidentiality is not good, and it is easy to cracked

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