User-Attribute Data Release System with Neural Network Query Generation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for secure processing, storage, and release of user attribute data to external third parties face challenges in ensuring authorized and secure data handling, particularly in technical and economic processes, where existing cryptography and encryption methods are inadequate.
Innovation Solution
A computer-implemented system that includes a data processing device with artificial neural networks for user-dialogue-based query criteria generation, secure data storage, and authorization facilities to ensure only authorized access and release of user attribute data, utilizing encryption and blockchain principles for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing cryptography and encryption methods are used for secure data processing and storage, then data security is improved, but the system complexity and computational overhead increase
Solution Approach 1:
The patent segments the data processing system into multiple independent components: a data processing device for collecting and processing user data, a separate authorization device for managing access rights, and a data storage facility for secure data retention. This segmentation allows each component to be optimized independently, reducing overall system complexity while maintaining security through distributed architecture.
Solution Approach 2:
The patent introduces an authorization device as an intermediary component between the data processing device and the data storage facility. This intermediary manages authorization criteria and controls data access, separating security management from data processing operations. The intermediary approach reduces complexity by centralizing security logic in a dedicated component rather than embedding it throughout the entire system.
2Adaptability or versatility
If user attribute data is released to external third parties for technical and economic processes, then data utility is improved, but the risk of unauthorized access increases
Solution Approach 1:
The patent implements dynamic authorization criteria that can be adjusted based on the specific data access request. The authorization device evaluates multiple criteria including user identity, data sensitivity, purpose of access, and compliance requirements. This dynamic evaluation allows the system to adapt security measures to each access scenario, enabling data utility for legitimate third-party processes while maintaining protection against unauthorized access through context-aware authorization decisions.
Solution Approach 2:
The patent changes the parameters of data release by transforming raw user attribute data into processed information that meets specific authorization criteria before being released to third parties. The system modifies data parameters through processing and filtering, ensuring that only data meeting predefined security and compliance parameters is released. This approach maintains data utility for economic and technical processes while reducing unauthorized access risk through parameter-controlled release.
3Ease of operation
If user authorization and control mechanisms are implemented for data processing, then user control is improved, but the processing time and operational complexity increase
Solution Approach 1:
The patent implements preliminary authorization setup where users define their data access preferences and authorization criteria in advance. The authorization device stores these pre-configured parameters and automatically evaluates them against incoming data access requests. This preliminary action approach allows users to maintain control over their data by setting preferences beforehand, while significantly reducing processing time during actual data access operations since the authorization logic is already prepared and stored.
Data Source
Figure 1

AI summary
System (1) for user-authorizable processing and release of user-attribute-related data to a requester (2).