A method and system for anonymous authentication of trust in decentralized mobile crowdsourcing

Abstract

The invention belongs to the technical field of data processing, and discloses an anonymous authentication method and system for trust in decentralized mobile crowdsourcing. Nodes registered in the blockchain system generate a new public-private key pair, and the generated key change request is sent to the cloud The trusted execution environment of the server, the cloud server processes the node key change signal, secretly links the trust evaluation result, and publishes the key change result on the blockchain system; the signature verification node signs the message with the changed private key and passes The blockchain system conducts trust authentication on the signature node. The present invention selects all public key signature mechanisms such as RSA according to needs, and includes behavior-based trust evaluation schemes, which are not limited to using Bloom filters. Included feedback-based trust evaluation scheme, weight calculation can be based on methods based on game theory, machine learning and trust theory.

Description

Technical field [0001] The present invention belongs to the field of data processing, and in particular, the present invention relates to an anonymous authentication method and system for trust based on the block chain. Background technique [0002] Mobile CrowdSourcing, MCS is a new data acquisition system that collects data with mobile devices. Traditional MCS is based on centralized architecture, facing a single point of failure, and security, privacy, and trust problems caused by untrusted center entities. Therefore, it is necessary to design the desired MCS system. [0003] However, the decentralized MCS system lacks the credibility center assessment and guaranteeing node trust, and thus requires detrimental trust assessment and supporting certification of node trust. Considering the need for nodes to identify privacy and data privacy, you need to implement anonymous authentication for trust, namely anonymous trust authentication. [0004] In MCS, trust information helps to ...

AI Technical Summary

Problems solved by technology

[0008] Through the above analysis, the existing problems and defects of the existing technology are as follows: (1) The trust evaluation method based on the blockchain smart contract has high cost and poor efficiency, and lacks privacy protection for node trust-related data

[0009] (2) The decentralized authentication method based on zero-knowledge proof takes a long time to generate proof and is inefficient

[0010] (3) A decentralized authentication method based on blockchain-based public key infrastructure (Public Key Infrastructure, PKI), which cannot prevent attackers from tracking node behavior due to the open and transparent nature of blockchain

There is a contradiction between the credibility and efficiency of decentralized trust evaluation; there are difficulties in the anonymous trust authentication of the blockchain-based mobile crowdsourcing system

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