Document Validation via Cross-Entity Information Comparison
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Solution Overview
Problem
Current technologies fail to provide efficient and reliable solutions for determining the validity of documents and detecting malicious network nodes, leading to vulnerabilities in information security and unauthorized access to confidential information.
Innovation Solution
A system and method that utilize a network interface and processor to verify document validity by comparing extracted user information with expected information, and detect malicious network nodes by establishing consensus among blockchain network nodes, ensuring fault-tolerant operation even in the presence of anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If document validation is performed by comparing extracted information with expected information, then information security is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary validation system that acts as a mediator between document presentation and verification. This system automatically extracts information from presented documents, compares it with expected information from databases, and determines validity without requiring manual verification. The intermediary layer handles the complexity of validation logic, keeping the overall system architecture clean while achieving robust security through automated multi-step verification processes.
2Reliability
If multiple network nodes are used to establish consensus, then fault tolerance is improved, but communication overhead increases
Solution Approach 1:
The patent segments the consensus validation process into independent parallel operations across multiple network nodes. Each node independently validates document information against its local copy of expected data, rather than requiring sequential communication rounds. This segmentation allows simultaneous validation across the network, reducing communication overhead and time loss while maintaining fault tolerance through distributed verification.
3Productivity
If automated document validation is implemented, then processing speed is improved, but resource consumption increases
Solution Approach 1:
The patent implements partial validation by comparing only critical document fields (such as name, address, identification numbers) against expected information, rather than validating every piece of data. This selective approach achieves sufficient security for the application while significantly reducing processing resources and energy consumption. The system performs just enough validation to determine document authenticity without unnecessary computational overhead.
Data Source
AI summary
A system accesses a scan of a document that shows first user information. The system extracts the first user information from the scan of the document. The system identifies an entity associated with the document, where an identifier associated with the entity is shown on the scan of the document. The system communicates a request to provide second user information to a computing device associated with the entity. The system receives a response comprising the second user information and compares each component in the first user information with a counterpart component in the second user information. The determines whether the document is valid based on the comparison between the first user information and the second user information.