Blockchain Middle Layer Subsystem for Secure Data Transfer
Solution Overview
Problem
Modern blockchain solutions face challenges in scaling and reducing resource demand for large-scale data transfers while maintaining high security standards, especially in managing sensitive data like medical records.
Innovation Solution
A middle layer subsystem within a blockchain-regulated data-management system defines multiple sets of conditions for data transfers as sequences of user-consent steps in smart contracts, determines the required security level, and executes data transfers only after obtaining user consent, thereby reducing the demand on the blockchain system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain technology is used to secure data transfers with smart contracts, then security and tamper-proof verification are improved, but processing time and energy consumption increase
Solution Approach 1:
The patent segments the data transfer process into multiple conditional steps, each governed by specific smart contract conditions. Instead of a single monolithic blockchain transaction, the system divides the transfer into discrete conditional operations (e.g., checking consent status, verifying data quality, validating pricing) that can be evaluated independently. This segmentation reduces the computational burden on the blockchain while maintaining comprehensive security controls.
Solution Approach 2:
The system performs preliminary actions by establishing conditional rules and consent frameworks before actual data transfers occur. Smart contracts are pre-configured with all necessary conditions (user consent, data quality requirements, pricing terms) so that during execution, the blockchain only needs to verify pre-defined conditions rather than process complex real-time decisions. This preliminary setup reduces processing time and energy consumption during actual data transfer operations.
2Reliability
If multiple consent steps are implemented for data transfers, then security control is improved, but processing time increases
Solution Approach 1:
The patent merges multiple consent verification steps into a single integrated smart contract execution. Instead of processing each consent condition as a separate blockchain transaction, the system combines multiple verification checks (user consent, data quality, pricing agreement) into one unified conditional smart contract that processes all conditions simultaneously. This merging maintains comprehensive security control while significantly reducing the cumulative processing time that would result from sequential transactions.
3Reliability
If blockchain-regulated data management is used, then data security and regulatory compliance are improved, but system complexity increases
Solution Approach 1:
The patent implements a universal smart contract framework that handles multiple regulatory requirements and security controls through a single standardized system. The conditional smart contracts are designed to accommodate various data types, consent models, and regulatory standards (such as GDPR or HIPAA) using the same underlying architecture. This universality reduces system complexity by avoiding the need for separate specialized systems for different regulatory regimes while maintaining comprehensive security and compliance capabilities.
Data Source
AI summary
A computer-implemented method of securing data transfers includes the steps of defining two or more sets of conditions for executing a data transfer as sequence of user-consent steps in the form of respective smart contracts, receiving a data-transfer request, determining a required security for the data-transfer request, selecting one of the defined sets of conditions according to the determination, requesting user consent according to the sequence defined by the smart contract respective to the selected set of conditions, and executing requested data transfer after all requested user consent is approved.