Distributed Data Validation Using Blockchain and AI
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Solution Overview
Problem
Existing document validation procedures are laborious and costly, relying on secure, centralized locations that are prone to errors and expose sensitive information, lacking efficiency and transparency.
Innovation Solution
A method utilizing distributed storage systems with blockchain technology for secure validation and storage of documents, where metadata and paper-form data are segmented and validated by multiple entities, with ratings and access control to ensure security and accountability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized secure locations are used for document validation, then security and control are improved, but costs and operational complexity increase
Solution Approach 1:
The patent segments the centralized validation system into multiple distributed validation entities across a peer-to-peer network. Each entity independently validates documents and stores results in distributed ledger blocks, eliminating the need for a single centralized secure location while maintaining security through decentralization and cryptographic verification.
2Loss of information
If multiple validation entities are distributed across a network, then transparency and accountability are improved, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where validation entities rate each other's performance and document validation results are stored in immutable ledger blocks. This creates a self-regulating system where transparency is achieved through distributed recording of all validation actions, and accountability is enforced through peer rating systems that provide continuous feedback on entity performance.
3Loss of energy
If centralized secure locations are eliminated, then costs are reduced, but ensuring security and validation reliability becomes more difficult
Solution Approach 1:
The patent merges multiple independent validation entities into a unified distributed network that collectively provides validation services. By combining the capabilities of multiple entities across the peer-to-peer network and using consensus mechanisms to agree on validation results, the system achieves reliable validation without requiring expensive centralized secure facilities.
Data Source
AI summary
Methods and apparatus for validating paper forms are provided. A node can receive paper-form data from a paper form that has first and second data items (DIs). The node can: determine first and second metadata for the first and second DIs respectively, determine respective first and second validation entities (VEs) to validate respective values of the first and second DIs based on the respective first and second metadata, where the first and second VEs can differ, provide a user interface (UI) including a display of the first DI, receive a validation status for the first DI via the first UI from the first VE, select a first distributed storage system (DSS) associated with the first DI, and record the value of the first DI and the validation status in the first DSS. The node can generate an output related to the paper-form data based on the first DSS.