Blockchain Credit Evaluation for Work Publishers
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Solution Overview
Problem
The existing method of credit evaluation for work publishers is not open and credible, as it relies on centralized servers that can be tampered with and lack transparency, making it difficult to accurately assess the credit level of service nodes and prevent plagiarism.
Innovation Solution
A blockchain-based method and device for credit evaluation that performs originality analysis on published works, determines copyright credit score decrements based on originality representation values, and broadcasts credit deductions to the blockchain network for consensus verification, establishing a transparent and tamper-proof record of credit scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized server is used for credit evaluation, then the system is easy to operate and implement, but the system lacks transparency and credibility because the server can be tampered with
Solution Approach 1:
The patent divides the centralized credit evaluation system into multiple service nodes distributed across a blockchain network. Each node independently performs credit evaluation and stores evaluation results on the blockchain, eliminating the single point of failure and tampering risk inherent in centralized systems. This segmentation transforms the monolithic centralized server into a distributed network of independent evaluators.
Solution Approach 2:
The patent combines the functions of credit evaluation, data storage, and consensus verification into a unified blockchain-based system. Multiple service nodes simultaneously perform evaluation and store results on the same blockchain ledger, merging what were previously separate centralized functions into a distributed collaborative system that enhances both reliability and transparency.
2Loss of information
If a centralized server stores credit scores, then the system is simple to implement, but the system lacks openness and transparency
Solution Approach 1:
The patent implements a feedback mechanism where credit evaluation results are published to the blockchain and can be queried by any participant in the network. This creates a transparent feedback loop where evaluation outcomes are visible to all service nodes and users, allowing for verification and building trust in the credit evaluation process without requiring complex additional verification systems.
Solution Approach 2:
The patent introduces the blockchain as an intermediary layer between service nodes and credit score storage. Instead of direct centralized storage, the blockchain acts as a neutral, transparent mediator that records all credit evaluations immutably. This intermediary structure provides openness and transparency while maintaining system simplicity through standardized blockchain protocols.
3Measurement precision
If originality analysis is performed on all published works, then plagiarism detection accuracy is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent applies originality analysis selectively rather than uniformly to all published works. Service nodes perform comprehensive originality analysis on works that trigger suspicion or meet certain criteria, while relying on the blockchain's immutable record of previous evaluations for routine cases. This partial action approach maintains high detection accuracy for problematic works while reducing overall processing time and computational overhead.
Data Source
AI summary
Disclosed are a method and device for performing credit evaluation on a work publisher on the basis of a blockchain. The method and device can perform originality analysis on a target work published by a target service node to the blockchain so as to obtain an originality representation value corresponding to the target work. If the originality representation value is low, a copyright credit score corresponding to the target service node is deducted. The deduction is subjected to consensus verification performed by a plurality of service nodes and can only be made public in the blockchain after the consensus verification is successful. The blockchain can publicize a copyright credit score deduction record corresponding to the target service node, based on which the copyright credit score corresponding to the target service node can be determined. The lower the copyright credit score, the poorer the credit level of the target service node.