Blockchain Audit Node for Ledger Forgery Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing blockchain networks face challenges in effectively auditing and restoring the integrity of ledger information, particularly in cases of data forgery or damage, which can compromise the security and reliability of the network.
Innovation Solution
A method and system for auditing ledger information in a blockchain network using an audit node that identifies discrepancies and verifies the integrity of ledger information through a neural consensus proof-based block generation process, allowing for the restoration of damaged ledger information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain networks use distributed storage to improve security and reliability, then data integrity is enhanced, but the ability to detect and audit forgery becomes more difficult when discrepancies occur
Solution Approach 1:
The patent introduces an audit node as an intermediary component that mediates between the distributed ledger storage system and the forgery detection process. The audit node receives ledger information from multiple node devices, performs consistency checks, and generates audit reports, thereby simplifying the detection of forgeries in the distributed system
Solution Approach 2:
The patent implements a feedback mechanism where audit nodes continuously monitor and verify ledger information from node devices, provide feedback on consistency and integrity, and trigger corrective actions when forgeries are detected. This creates a closed-loop system that enhances detection capability while maintaining distributed storage
2Reliability
If blockchain networks implement consensus algorithms to ensure data consistency, then reliability is improved, but the complexity of auditing and verifying ledger information increases
Solution Approach 1:
The patent segments the auditing function from the main consensus mechanism by introducing dedicated audit nodes that specialize in verification tasks. This separates the consensus-reaching process from the audit process, allowing each to be optimized independently and reducing overall system complexity
Solution Approach 2:
The audit nodes perform multiple functions including receiving ledger information, verifying consistency, detecting forgeries, and generating audit reports. This multi-functionality consolidates various auditing tasks into a single component, reducing the overall complexity of the auditing system
3Reliability
If blockchain networks store ledger information across multiple node devices to enhance security, then reliability is improved, but the ability to restore damaged ledger information becomes more challenging
Solution Approach 1:
The patent implements preliminary actions by having audit nodes continuously verify and audit ledger information before damage or corruption occurs. By proactively detecting inconsistencies and forgeries early, the system can prevent damage propagation and facilitate easier restoration by identifying the correct ledger state in advance
Data Source
AI summary
Proposed are a method and a system for auditing for the forgery of ledger information with respect to a neural consensus-based blockchain network that performs a non-competitive random consensus proof. The method includes clustering a plurality of ledger information from a plurality of node devices in the blockchain network for electronic notarization, verifying the forgery of the plurality of ledger information by at least one audit node by identifying a discrepancy between the plurality of ledger information, and by responding to the discrepancy, and generating a block for updating the ledger information of the plurality of node devices on the basis of verification results for the plurality of ledger information.