Smart Contract Credit Data Sharing With Off-Chain Storage
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Solution Overview
Problem
Existing credit data sharing systems face scalability issues and security concerns, particularly when using blockchain for storing large quantities of credit data, and lack incentives for organizations to maintain updated credit data.
Innovation Solution
A decentralized system utilizing a blockchain-supported distributed ledger and smart contracts, combined with a distributed file system, enables secure, automated, and incentive-driven credit data sharing among organizations, using storage identifiers and token-based incentives to maintain data integrity and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain is used to store large quantities of credit data, then data security and integrity are improved, but system scalability and resource efficiency deteriorate
Solution Approach 1:
The patent segments the data storage system into two parts: a distributed ledger (blockchain) that stores only critical metadata and storage identifiers, and a distributed file system that stores the actual credit data. This segmentation allows the blockchain to maintain its security advantages while avoiding the scalability limitations of storing large volumes of data directly on-chain.
Solution Approach 2:
The patent introduces a distributed file system as an intermediary layer between the blockchain and the credit data. The file system acts as a mediator that handles bulk data storage while the blockchain maintains secure references through storage identifiers, enabling both security and scalability.
2Productivity
If distributed ledger is used to share credit data among organizations, then data sharing efficiency is improved, but data update maintenance and data freshness deteriorate
Solution Approach 1:
The smart contract automatically monitors and detects when credit data becomes stale or outdated. When staleness is detected, the smart contract self-executes to trigger data refresh operations, eliminating the need for manual intervention and ensuring data remains current without constant human maintenance.
Solution Approach 2:
The system implements a feedback mechanism where the smart contract continuously monitors the freshness of credit data and automatically initiates updates when data becomes stale. This closed-loop feedback ensures data remains current while reducing manual maintenance overhead.
3Device complexity
If centralized entities are used to manage credit data, then system complexity is reduced, but security risks and single points of failure increase
Solution Approach 1:
The patent segments the centralized credit data management system into a distributed architecture where the blockchain stores immutable metadata and the distributed file system stores credit data across multiple nodes. This segmentation eliminates single points of failure while maintaining manageable system complexity through clear separation of concerns.
Solution Approach 2:
The smart contract serves as an intermediary that automates data management operations between organizations. By introducing this automated mediator, the system reduces the need for complex centralized coordination while improving security through decentralized execution of trust logic.
Data Source
AI summary
A node associated with an organization may receive a storage identifier for new credit data associated with an individual. A distributed ledger and distributed data sources may be used to share the new credit data with a network of nodes. The node may update a smart contract with the storage identifier for the new credit data. The node may receive, from a particular device associated with the organization, a request for the new credit data. The node may obtain the storage identifier for the new credit data from the smart contract. The node may obtain the new credit data by using the storage identifier to search the distributed data sources. The node may provide the new credit data to the particular device. The node may perform actions to obtain additional new credit data from the distributed data sources or provide the additional new credit data to the distributed data sources.


