Multi-Dimensional Data Verification for Blockchain Authenticity
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Solution Overview
Problem
Blockchain technology ensures data consistency across node devices but fails to guarantee the authenticity of stored data, leading to potential junk data issues.
Innovation Solution
A data verification method and apparatus that acquire and verify target data by retrieving associated multi-dimensional data from various sources, using smart contracts and confidence algorithms to ensure credibility and reliability of data verification results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If blockchain technology is used to ensure data consistency across node devices, then data consistency is improved, but data authenticity cannot be guaranteed leading to potential junk data issues
Solution Approach 1:
The patent transitions from single-dimension verification to multi-dimensional verification by incorporating data from multiple sources including blockchain data, external data sources, and historical data. This dimensional expansion allows the system to verify both consistency and authenticity simultaneously by cross-referencing target data across different data dimensions and time periods
2Reliability
If multi-dimensional data from various sources is acquired and verified, then data credibility is improved, but system complexity increases
Solution Approach 1:
The verification system is segmented into distinct functional modules: a data acquisition module that retrieves target data and multi-dimensional verification data from various sources, and a verification module that performs the actual verification. This segmentation allows each module to specialize in specific tasks, managing complexity through functional decomposition while maintaining high data credibility
Solution Approach 2:
The patent introduces a verification module as an intermediary between data acquisition and data usage. This intermediary component coordinates the complex verification process by receiving target data, acquiring multi-dimensional verification data from multiple sources, performing verification operations, and outputting verification results. The intermediary manages the complexity of multi-source data integration and verification logic
Data Source
AI summary
A data verification method and apparatus, a computer device and a computer-readable storage medium are provided, and belong to the technical field of networks. The method includes the following steps: acquiring a data verification request; acquiring at least one set of first data from at least one data source; and verifying target data based on the at least one set of first data. According to the solution, by acquiring data having a production and life relationship with the target data, during data verification, the authenticity of the target data can be verified based on different dimensions and different production and life links.