Reputation evaluation method and system for privacy protection based on block chain

Abstract

The invention relates to a reputation evaluation method and system for privacy protection based on a block chain, and belongs to the technical field of blind signatures, secure multi-party signaturesand block chains. After the user and the merchant finish the online transaction, anonymous evaluation is carried out on the merchant to generate an evaluation transaction, the evaluation transaction is sent to the alliance block chain network, each service provider carries out partial decryption on the evaluation in the evaluation transaction and sends the evaluation to the block chain network, and the merchant updates the reputation of the merchant according to the partial decryption information. Specifically, the method comprises the following steps: a user, a merchant and a service providerregister with a trusted party to obtain corresponding keys; and the user accesses the reputation of the merchant under each service provider, evaluates the service provider after online transaction,broadcasts the reputation in a block chain transaction form, and the service provider serves as a miner of the block chain network, calculates the obtained evaluation for all merchants and updates themerchants. The method and the system have the advantages of reputation publicity, reputation availability, data audit and effective privacy protection for user evaluation.

Description

technical field [0001] The invention relates to a reputation evaluation method and system based on block chain privacy protection, and belongs to the technical fields of blind signature, secure multi-party computing and block chain. Background technique [0002] Users use their real names to submit evaluations of merchants on online trading platforms. Although it can provide the authenticity of evaluations, it will expose users' privacy. Therefore, some privacy-preserving reputation evaluation methods have emerged in recent years. The reputation evaluation method of privacy protection generally includes four participants: users, merchants, service providers, and certificate issuing centers; among them, users and merchants complete online transactions on the platform of service providers, and then users evaluate merchants, and certificates are issued. The center is the user registry; here, the reputation is a numerical value; [0003] The specific implementation process of ...

AI Technical Summary

Problems solved by technology

[0004] The existing privacy-protected reputation evaluation methods have the following three problems. (1) Low reputation openness, which means that the reputation of the merchant is stored in the cloud server of each service provider and will be subject to malicious opponents in the network. Tampering; (2) Low reputation availability, which means that when users and merchants of other service providers are ready to conduct transactions, it is difficult to obtain their reputation, because existing service providers work independently and their databases are not shared. You will encounter the problem of isolated information islands; (3) There is no data audit function, that is, the existing reputation evaluation system cannot audit user evaluation data

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