Distributed Ledger Logging With Reputation-Based Data Transfer Validation
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Solution Overview
Problem
Conventional data sharing platforms rely on centralized administration, which increases overhead costs and lacks trust between data providers and users, and existing DLT-based audit logging methods fail to verify data flows effectively.
Innovation Solution
A decentralized data sharing system using a distributed ledger technology (DLT) with smart contracts and reputation scores to validate data transfers, enabling direct trust relationships between data providers and users, and ensuring auditable records without external validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized system administrator is used to manage data exchange, then trust and security are established between data providers and users, but administrative overhead costs increase
Solution Approach 1:
The patent extracts the centralized administrator role and replaces it with a decentralized validation mechanism using DLT. The validation function is taken out from the centralized system and distributed across multiple nodes through smart contracts that automatically verify data transfers based on pre-defined rules and reputation scores, eliminating the need for costly centralized administration while maintaining trust.
Solution Approach 2:
The system enables self-service through automated validation where data providers and users independently verify transactions through the DLT network. Smart contracts automatically execute validation logic and update reputation scores without human intervention, allowing the system to self-regulate and reducing administrative overhead while maintaining reliability through cryptographic verification.
2Reliability
If centralized administration is used for data exchange validation, then secure and reliable data transfer is ensured, but overhead costs increase
Solution Approach 1:
The patent replaces the mechanical centralized validation system with a cryptographic-based DLT system. Instead of relying on centralized authority and manual validation processes, the system uses cryptographic proofs, digital signatures, and consensus mechanisms to validate data transfers, significantly reducing overhead costs while maintaining or enhancing security through mathematical guarantees.
Solution Approach 2:
The system changes the validation parameter from centralized trust to distributed reputation scoring. By introducing reputation scores as a new parameter that is automatically updated based on transaction history and validated by the network, the system achieves secure data transfer with reduced overhead, as validation is based on objective, transparent metrics rather than costly centralized management.
3Adaptability or versatility
If DLT-based audit logging is implemented, then decentralization and trust are achieved, but data flow verification effectiveness is insufficient
Solution Approach 1:
The patent applies preliminary action by establishing pre-defined validation rules and reputation thresholds before data transfers occur. Smart contracts are pre-configured with verification logic that automatically checks data flow integrity, ensuring precise verification is built into the system architecture from the outset rather than added as a post-processing step, thus maintaining both decentralization and verification effectiveness.
4Reliability
If reputation scores are used to validate data transfers, then direct trust relationships are established between data providers and users, but system complexity increases
Solution Approach 1:
The patent applies universality by making the reputation score mechanism serve multiple functions simultaneously: it validates data transfers, establishes trust relationships, guides routing decisions, and incentivizes honest behavior. This multi-functionality reduces the need for separate mechanisms for each purpose, thereby managing system complexity while achieving direct trust relationships through a single integrated reputation system.
Data Source
AI summary
A computer-implemented method of validating a data transfer from a data provider to a data user via a first computing node of a network is provided. The method comprises. The network comprises a plurality of computing nodes. The computing nodes are in communication with a distributed ledger storing, for each computing node, a respective reputation score derived based on previous data transfers associated with the respective node. The method comprises obtaining, by the first node, a data transfer record specifying the data transfer, and submitting, by the first node, the data transfer record to a smart contract on the ledger for validating the data record by determining that the reputation score of the first node exceeds a predefined threshold.