Neural Consensus Body Proof for Blockchain Failover Continuity
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Solution Overview
Problem
Existing blockchain networks face inefficiencies and resource wastage due to reliance on Proof of Work (PoW) or Proof of Stake (PoS) methods, leading to centralization issues and difficulties in maintaining service continuity during network failures.
Innovation Solution
A neural consensus body-based blockchain network system that switches from existing non-random consensus methods to a random consensus method using a neural consensus body proof module cluster, allowing decentralized operation without PoW or PoS, and ensuring service continuity through a continuity guarantee mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Proof of Work (PoW) is used for consensus, then security and fraud prevention are improved, but resource consumption and centralization problems worsen
Solution Approach 1:
The patent changes the consensus mechanism from PoW to a hybrid model combining PoS and PBFT. This parameter change in the consensus algorithm eliminates the need for excessive computing power investment while maintaining security through stake-based validation and Byzantine fault tolerance, directly resolving the contradiction between security and resource consumption
Solution Approach 2:
The patent implements a dynamic consensus mechanism that adapts between different modes (PoS for normal operation, PBFT for enhanced security scenarios). This dynamic adjustment allows the system to optimize resource usage while maintaining appropriate security levels, addressing the static inefficiency of pure PoW systems
2Use of energy by moving object
If Proof of Stake (PoS) is used for consensus, then energy consumption is reduced, but block generation centralization worsens
Solution Approach 1:
The patent merges PoS with PBFT to create a hybrid consensus mechanism. This combination retains the energy efficiency of PoS while incorporating PBFT's distributed decision-making process, where multiple validators must reach consensus through predefined rounds. This merging prevents single-node domination and ensures broader participation in block generation
Solution Approach 2:
The patent introduces PBFT as an intermediary layer over PoS. The PBFT mechanism acts as a mediator that coordinates validator selections and ensures distributed agreement, preventing direct centralization issues in PoS while maintaining its energy efficiency benefits
3Productivity
If non-random consensus body proof is used, then block generation is efficient, but service continuity during network failure worsens
Solution Approach 1:
The patent implements a standby mechanism where multiple potential validators are pre-selected and ready to take over if the current consensus body fails. This beforehand preparation ensures that when network failures occur, the system can quickly switch to alternative validators without interrupting service, cushioning against reliability issues while maintaining efficient block generation
Solution Approach 2:
The system implements automatic failure detection and recovery mechanisms where the blockchain network self-corrects by switching to standby validators without external intervention. This self-service capability maintains service continuity during failures while preserving the efficiency of the primary consensus mechanism
Data Source
AI summary
An operation method of a node device connected to a non-random consensus body proof-based blockchain network according an embodiment of the present disclosure comprises acquiring new block data propagated through the blockchain network; and performing a neural consensus body proof-based block generation process corresponding to the new block data according to a preset condition, wherein the neural consensus body proof-based block generation process includes extracting validity verification data from the new block data; acquiring neural consensus body designation information of a next block generated on the basis of a random consensus body proof process according to a verification process of the validity verification data; and generating validity verification data of the next block by selectively driving a consensus body node function unit on the basis of the neural consensus body designation information of the next block.