Member Credential Validation for Secure Public-Private Data Sharing
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Solution Overview
Problem
Conventional systems fail to support data sharing with dynamic control, often focusing on discrete decisions like loan qualification or investment risk, and lack incentives to share public company data, thereby neglecting the maintenance and update of validated company information, which hampers the generation and maintenance of consumer interest and member reputation.
Innovation Solution
A system that validates member companies by issuing credentials, securely stores data in a hybrid structure with public and private portions, and allows selective sharing with third-party marketplaces, using machine learning models for enhanced data analysis and forecasting, while maintaining privacy and reputation integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems store company data, then data security is maintained, but data sharing and dynamic control are not supported
Solution Approach 1:
The patent segments company data into public portions and private portions, allowing selective sharing. The credential manager divides access rights by issuing different credentials that grant access to specific data segments, enabling both security and sharing simultaneously.
Solution Approach 2:
The system implements dynamic control over data access through credentials that can be issued, revoked, or modified at any time. Access rights are not static but can change based on business needs, allowing the system to adapt sharing permissions dynamically while maintaining security.
2Measurement precision
If discrete validation decisions are made for loan qualification or investment risk, then specific risk assessment is achieved, but ongoing maintenance and update of validated information is neglected
Solution Approach 1:
The system implements continuous feedback loops where credential validity is periodically reassessed, and credentials can be revoked or updated based on changes in company status. This ensures validated information remains current without requiring discrete re-validation decisions.
Solution Approach 2:
Instead of discrete validation events, the system maintains continuous validation through ongoing monitoring and automatic credential management. The credential manager continuously ensures access rights remain appropriate, transforming periodic validation into an ongoing process.
3Loss of information
If public company data is shared with third parties, then consumer interest and member reputation are enhanced, but privacy and security of sensitive information may be compromised
Solution Approach 1:
The patent divides company information into public portions that can be safely shared and private portions that remain protected. The credential manager enforces this segmentation by granting access only to authorized portions of data, enabling information sharing without compromising privacy.
Solution Approach 2:
The credential manager acts as an intermediary between data holders and third parties, controlling and mediating all data access. This intermediary ensures that only appropriate information is shared with appropriate parties, reducing privacy risks while enabling beneficial information flow.
Data Source
AI summary
Members of a limited member organization can be validated, and certain data can be publicly shared and confirmed. A member of the organization may be part of a company, and validation data related to the member and/or company can be analyzed to validate the member company. Once validated, a credential can be issued. The credential can be used to secure access to a data structure for the member company which stores public and private data. For example, a request to access the public data can include an identifier, and the public data can be returned when the identifier is authenticated to match the issued credential. Implementations grant access to a third-party marketplace by securing a portion of the data structure using a credential issued to the marketplace. The third-party marketplace can store marketplace data in the data structure, which can be used to update the validation.