Approximate Hash Verification for Blockchain Peer Node Recovery
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Solution Overview
Problem
Blockchain systems face high computational resource consumption due to the need for full-step hash verification, which can lead to inefficiencies and potential errors, especially in decentralized networks where fault tolerance is crucial.
Innovation Solution
Implementing approximate hash verification by generating a reduced-step hash alongside the full-step hash, allowing for faster verification with reduced computational effort while maintaining security through the same hash function applied fewer times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full-step hash verification is performed to ensure security and integrity, then reliability is improved, but computational resource consumption increases
Solution Approach 1:
The hash verification process is segmented into two types: full-step hash verification for critical security checks and reduced-step hash verification for routine validation. This segmentation allows the system to allocate computational resources differently based on the verification level needed, reducing overall energy consumption while maintaining security where required.
Solution Approach 2:
The patent applies partial action by using reduced-step hash verification (fewer hash iterations) for routine block verifications instead of always performing full-step verification. This partial verification approach is sufficient for maintaining chain integrity in normal operation, reducing computational burden while still providing adequate security.
2Reliability
If full-step hash verification is performed to maintain security, then reliability is improved, but system performance decreases
Solution Approach 1:
The verification process is divided into full-step and reduced-step hash verification paths. Full-step verification is reserved for critical operations where maximum security is required, while reduced-step verification handles routine operations, thereby improving overall system throughput and verification speed without compromising security where needed.
Solution Approach 2:
The system uses partial verification (reduced-step hash) for routine block processing to maintain high productivity, reserving full-step verification for situations where enhanced security is critical. This selective approach optimizes the balance between verification speed and security maintenance.
3Productivity
If reduced-step hash verification is used to reduce computational load, then productivity is improved, but measurement precision (verification accuracy) deteriorates
Solution Approach 1:
The verification hierarchy segments operations into full-step and reduced-step verification levels. Full-step verification provides maximum precision for critical security checks, while reduced-step verification offers sufficient precision for routine validation. This segmentation ensures that precision is maintained where needed while improving overall productivity.
Solution Approach 2:
The system incorporates feedback mechanisms where reduced-step verification results can be validated by full-step verification when anomalies are detected or at regular intervals. This feedback loop ensures that any potential inaccuracies from reduced-step verification are corrected, maintaining overall verification accuracy while benefiting from the speedup.
Data Source
AI summary
An example operation may include one or more of receiving, from a blockchain peer node, a sequence of blocks stored in a hash-linked chain of blocks on a distributed ledger, where each block in the sequence of blocks includes a reduced-step hash of block content from a previous block in the sequence, performing an approximate hash verification on the reduced-step hashes stored among the sequence of blocks, and determining whether the sequence of blocks has been tampered with based on the approximate hash verification on the reduced-step hashes.