User Influence-Based Consensus Processing for Blockchain
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Solution Overview
Problem
Current consensus processing methods for updating blockchain data, such as proof of work (POW), consume significant resources and energy, and existing influence quantification technologies lack accuracy in evaluating user influence across different fields and behaviors.
Innovation Solution
An information processing system that calculates a value indicating a user's influence and adjusts the difficulty level of consensus processing based on this value, using an influence evaluating apparatus to quantify user influence through ICs distributed based on various events and behaviors, and performs consensus processing on a peer-to-peer database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proof of work (POW) consensus processing is used to update blockchain data, then authenticity and tamper resistance of the peer-to-peer database are secured, but a huge amount of resources and energy are consumed
Solution Approach 1:
The patent changes the parameter used for consensus from computational power (POW) to user influence value. Instead of requiring massive computational work to prove validity, the system uses pre-calculated influence values that reflect a user's actual impact on the network. This parameter change maintains security (users still need valid influence to participate) while dramatically reducing energy consumption during consensus operations.
Solution Approach 2:
The system performs preliminary calculation of user influence values in advance, storing these values in the blockchain. During consensus processing, nodes simply reference these pre-calculated values rather than performing complex real-time calculations. This preliminary action separates the computationally intensive influence assessment from the time-critical consensus operation, reducing immediate energy requirements.
2Reliability
If proof of work (POW) consensus processing is used to update blockchain data, then authenticity and tamper resistance of the peer-to-peer database are secured, but information resources are heavily consumed
Solution Approach 1:
The patent replaces the POW parameter (computational work) with an influence value parameter that quantifies a user's actual contribution and impact on the network. This change reduces information resource consumption because influence values are calculated once and reused, rather than requiring repeated computational proofs for each consensus operation.
Solution Approach 2:
The system creates and stores copies of user influence values in the blockchain, allowing multiple nodes to reference the same validated influence data without recalculating it. This copying approach eliminates redundant computation across the network, reducing overall information resource consumption while maintaining consensus integrity.
3Reliability
If traditional consensus processing is used, then security is maintained, but processing efficiency is low due to high resource consumption
Solution Approach 1:
The patent fundamentally changes the consensus parameter from computational intensity to influence-based validation. This enables faster consensus because nodes compare pre-stored influence values rather than performing resource-intensive proof verification, directly improving processing efficiency while maintaining security through the decentralized nature of influence value storage and verification.
Solution Approach 2:
The patent substitutes the mechanical computational process of POW with a data-based validation process using influence values. Instead of mechanically performing repeated hashing and computational work, the system uses stored influence data to determine consensus outcomes, replacing a resource-heavy mechanical system with a more efficient information-based system.
Data Source
AI summary
To more appropriately perform a consensus processing regarding update of a peer-to-peer database.There is provided an information processing apparatus including: an acquiring unit that acquires a value indicating an influence of a user; and a consensus processing unit that performs consensus processing regarding update of a P2P database on the basis of the value indicating the influence.