Influence Ledger Schema for Secure Cross-Platform Reputation

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Solution Overview

Problem

Existing centralized systems for managing influence, trust, and reputation in digital ecosystems are vulnerable to single points of failure, data fragmentation, and lack transparency, leading to biases and security breaches, while existing DLT systems lack extensible schemas for governance-specific features, biometric privacy, and cross-platform compatibility.

Innovation Solution

The Global Influence Ledger (GIL) employs a decentralized ledger system with a smart schema layer, event logging module, distributed node framework, identity anchoring layer, and permissioned access interface to securely record, verify, and manage influence-related events, ensuring immutability, transparency, and interoperability, using cryptographic hashing and privacy-preserving methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If centralized systems are used to manage influence and reputation data, then ease of operation and centralized control are improved, but reliability and security are worsened due to single points of failure and vulnerability to manipulation

Engineering Contradiction:
Improvecentralized controlVSAvoidsecurity
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system segments the centralized reputation management function into distributed components across multiple nodes in a blockchain network. Each node maintains a copy of the reputation ledger, eliminating the single point of failure while preserving coordinated control through consensus mechanisms.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces cryptographic intermediaries (hash functions, digital signatures, and consensus protocols) that mediate between centralized control needs and distributed security requirements. These cryptographic layers enable verified coordination without centralized vulnerability points.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If existing DLT systems are used for reputation tracking, then reliability and immutability are improved, but adaptability is worsened due to lack of extensible schemas for governance-specific features

Engineering Contradiction:
ImproveimmutabilityVSAvoidextensible schemas
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic and extensible data schemas within the blockchain structure, allowing the system to adapt to different governance requirements while maintaining immutability of core ledger data. The schema can evolve to accommodate new influence event types without compromising the fundamental security and immutability properties of the blockchain.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If influence scores are updated frequently to reflect current reputation, then measurement precision is improved, but loss of time and computational overhead increase

Engineering Contradiction:
Improvereputation accuracyVSAvoidupdate latency
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system employs periodic batch processing of influence events combined with event-driven updates. Influence scores are recalculated at regular intervals based on accumulated events, balancing measurement precision with computational efficiency and reducing continuous processing overhead while maintaining timely reputation reflection.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20250392470A1Influence Forecasting Engine for Predictive Influence Trajectory Modeling
Publication Date: 2025.12.25 BICKERSTAFF GEORGE WILLIAM
  • US20250392470A1 patent drawing
  • US20250392470A1 patent drawing
  • US20250392470A1 patent drawing

AI summary

The Global Influence Ledger (GIL) is a distributed ledger system and method for securely recording and verifying influence, trust, reputation, and governance events in a decentralized network. It includes a smart schema layer for data structuring with time-based decay rules, an event logging module for timestamping and hashing, a distributed node framework for consensus verification, an identity anchoring layer with privacy-preserving proofs and biometric hashing to prevent Sybil attacks, and a permissioned access interface for querying and auditing with Merkle proofs. The system ensures immutability, transparency, and interoperability, preventing fraud and enabling portable reputation across ecosystems.