Blockchain Document Verification via Merkle Tree Hashing
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Solution Overview
Problem
Centralized databases face issues such as single points of failure, dependency on network connectivity, limited access, and difficulty in data retrieval due to lack of redundancy, which hinder efficient document verification in blockchain-based systems.
Innovation Solution
A blockchain-based system utilizing a decentralized database with multiple nodes that communicate to store and verify documents, employing Merkle trees and smart contracts to ensure immutability, security, and accessibility, allowing for efficient document verification across a sparsely distributed collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used to store documents, then data management and control are simplified, but the system has a single point of failure and limited accessibility
Solution Approach 1:
The patent segments the centralized database into multiple distributed nodes across a blockchain network. Each node maintains a copy of the document collection, eliminating the single point of failure while preserving data management capabilities through distributed consensus mechanisms.
Solution Approach 2:
The patent creates multiple copies of the document collection across different blockchain nodes. Each node stores identical copies of documents and their Merkle tree hashes, ensuring data availability and reliability even when individual nodes fail.
2Quantity of substance
If documents are stored in a centralized database with minimal redundancy, then storage efficiency is improved, but data retrieval becomes difficult when data is lost
Solution Approach 1:
The patent performs preliminary action by creating and storing Merkle tree hashes of documents before any potential loss occurs. These hashes are embedded in blockchain transactions, enabling verification and recovery capabilities to be prepared in advance.
Solution Approach 2:
The patent implements feedback through the Merkle tree verification mechanism. By comparing document hashes against the stored Merkle root in the blockchain, the system provides continuous feedback on document integrity, enabling detection and retrieval of lost or corrupted data.
3Reliability
If a decentralized blockchain network is used for document verification, then accessibility and reliability are improved, but the complexity of the system increases
Solution Approach 1:
The patent extracts the verification logic into a standardized Merkle tree hashing mechanism that operates independently of the underlying blockchain complexity. This abstraction layer simplifies the user interface while maintaining the reliability benefits of decentralization.
Solution Approach 2:
The patent creates a universal document verification system that can operate across multiple blockchain networks and platforms. The Merkle tree approach provides a common interface for document verification that works regardless of the specific blockchain implementation, reducing overall system complexity.
4Ease of operation
If multiple nodes access the same data simultaneously in a centralized database, then accessibility is improved, but bottlenecks and data overwrite risks occur
Solution Approach 1:
The patent segments the data access workload across multiple independent blockchain nodes. Each node can simultaneously process document verification requests without creating bottlenecks, as the distributed architecture eliminates the single-point congestion inherent in centralized databases.
Data Source
AI summary
An example operation may include one or more of marking a document, by a user node, to be included into a collection of documents, determining, by the user node, a business process step associated with the document based on a user mark, and executing a transaction to store a hash of the document onto a ledger of a blockchain, wherein a Merkle tree hash is generated and tagged on the ledger with details of the business process step.