Hybrid Data Exchange Architecture for User-Controlled Privacy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current data management systems lack user control and transparency in data sharing, with large technology companies profiting from user data without clear insights for brands on how to effectively target users, and blockchain's decentralized nature complicates data management and analysis.
Innovation Solution
A hybrid centralized-decentralized architecture system that allows users to control data sharing preferences, enables secure data transfer, and facilitates token transactions, using a central application with a decentralized blockchain for data exchange between users, developers, and companies, integrating self-sovereign identity and token wallets for secure data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized data management system is used, then data collection and analysis efficiency is improved, but user control and data privacy are worsened
Solution Approach 1:
The patent segments the data management system into multiple components: a centralized data collection platform for efficiency, and decentralized user-controlled data profiles with granular permission settings. This segmentation allows the system to simultaneously achieve high data collection efficiency while maintaining user control through selective data sharing permissions.
2Reliability
If a decentralized blockchain system is used, then user privacy and control are improved, but data management and analysis complexity are worsened
Solution Approach 1:
The patent introduces a centralized intermediary platform that mediates between decentralized user data profiles and data consumers. This intermediary handles the complexity of data management, aggregation, and analysis while users maintain control through the platform's standardized permission interface, thus preserving privacy without exposing users to management complexity.
3Adaptability or versatility
If comprehensive user data is collected, then brand targeting capability is improved, but user data exposure and privacy risks are worsened
Solution Approach 1:
The patent implements local quality by allowing different levels of data accessibility for different users and data consumers. Each user can set granular permissions for specific data elements, enabling brands to access only the data they need for targeting while minimizing overall data exposure. This creates localized data sharing arrangements rather than universal data access.
4Reliability
If users have granular control over data sharing, then user privacy and control are improved, but system operation complexity is worsened
Solution Approach 1:
The patent creates a universal data permission framework that handles multiple data types and sharing scenarios through a standardized interface. Users interact with a single unified system that manages all their data across different applications and brands, rather than dealing with separate permission settings for each data element or platform, thus maintaining control without proportionally increasing operational complexity.
Data Source
AI summary
Described is a hybrid centralized-decentralized system for managing data and token transactions among a decentralized group of stakeholders. The system uses a blockchain architecture to maintain secure identities for the stakeholders, as well as allow any stakeholder to perform a data or token transaction with another stakeholder. A central organization manages a central application and a data exchange. The central application manages profile data from users and interaction data for users with developer applications and provides it to the data exchange. The data exchange organizes and packages the data and may provide it to other stakeholders for analysis.