Controlled Data Sharing Through Rule-Based Request Validation
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Solution Overview
Problem
Existing data sharing systems lack secure and user-controlled mechanisms for managing personal information distribution, often violating user consent and regulatory limits, and there is a need for secure storage, control, and tracking of personal data.
Innovation Solution
A system comprising a user device, data store, and data processing machine, where the data store is distinct from the data recipient, with a first application under the data recipient's control and a second application not under their control, allowing user-controlled data sharing through a communications network, using pre-determined rules and validation to ensure explicit user approval and secure data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is stored in a centralized data store accessible by data recipients, then data sharing efficiency is improved, but security and user control deteriorate
Solution Approach 1:
The system segments data access control by separating the data store from data recipients and introducing a data processing machine as an intermediary. The data store contains data generated by or relating to the user, while the data processing machine validates data requests against pre-determined rules before allowing access. This segmentation enables efficient data sharing while maintaining security through distributed control architecture.
Solution Approach 2:
The data processing machine acts as an intermediary between the data store and data recipients. It receives data requests from applications, validates them against pre-determined rules, and only provides data if validation succeeds. This intermediary mechanism ensures that user consent and regulatory limits are enforced while maintaining efficient data flow to authorized recipients.
2Adaptability or versatility
If user information is extensively collected for service access, then service quality and commercial value are improved, but privacy concerns and regulatory compliance worsen
Solution Approach 1:
The system performs preliminary action by establishing pre-determined rules before data sharing occurs. These rules encode user preferences, legal and regulatory requirements, and terms of data sharing agreements. The data processing machine validates all data requests against these pre-established rules, ensuring that service quality is maintained through personalized data access while privacy concerns are addressed through proactive consent management.
Solution Approach 2:
The system implements feedback mechanisms where users can control what information is provided and what is kept confidential. The validation process provides feedback to data recipients about whether data requests comply with user consent and regulatory requirements. This feedback loop enables services to adapt to user preferences while maintaining regulatory compliance.
3Productivity
If data is distributed without explicit user consent, then data availability and service functionality are improved, but user trust and regulatory compliance deteriorate
Solution Approach 1:
The system implements dynamic data access control where consent and authorization levels can change over time. Users can control what information is provided at different times, and the data processing machine dynamically validates requests against current user preferences and consent settings. This dynamic approach maintains data availability for services while building user trust through ongoing control and transparency.
Data Source
AI summary
A system and method are disclosed for storing, processing and retrieving information. A data store, a data recipient and a data processing machine are provided, the data store and the data recipient both being connectable to each other and to the data processing machine via a potentially insecure communications network, and the data store being adapted to selectively provide information to the data processing machine and to the data recipient on receipt of one or more suitable instructions from the data processing machine, and the data processing machine being adapted to provide instructions to the data store based on a set of pre-determined rules, so that information is provided by the data store to the data recipient only when pre-determined conditions are met. Also disclosed is a data processing system comprising a processor and a data store, the processor being adapted to convert information into a pre-determined form for storage in the data store, wherein the processor is further adapted to categorise said information according to its content.