Secure Data Sharing via Intermediary Passphrase and Confidence Verification
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Solution Overview
Problem
Existing data sharing methods are inadequate for securely transferring medical or financial data from a data owner to a data recipient, especially when there is no mechanism for lossless communication or when the recipient does not wish to provide personal details, as seen in the context of health apps during the COVID-19 pandemic and in financial transactions.
Innovation Solution
A computer-implemented method using a sharing intermediary that provides access to data owner's data, personalized confidence information, and a passphrase to ensure secure transfer, allowing data owners to authorize transfers without needing to trust the intermediary, with optional data filtering, anonymization, and access limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a sharing intermediary is used to enable data transfer, then data security and trust are improved, but device complexity increases
Solution Approach 1:
The patent introduces a sharing intermediary as a third-party service that facilitates secure data transfer between data owners and recipients without requiring direct trust between the parties. The intermediary handles authentication, data transmission, and verification, thereby improving security while managing complexity through centralized service architecture.
2Reliability
If personalized data confidence information is stored and verified, then data accuracy and trustworthiness are improved, but loss of information increases
Solution Approach 1:
The patent extracts and stores only the essential data confidence information (such as answers to confidence questions) separately from the main data payload. This allows verification of data authenticity without transmitting or storing the entire data set, thereby maintaining trustworthiness while minimizing information loss.
3Object-affected harmful factors
If data filters and anonymization are applied, then data privacy and security are improved, but data completeness deteriorates
Solution Approach 1:
The patent applies data filtering and anonymization selectively rather than universally. Different levels of filtering can be applied to different data fields based on their sensitivity, allowing privacy protection for identifiable information while preserving necessary data completeness for analysis and utility.
4Reliability
If access limits and authentication requirements are imposed, then data security is improved, but ease of operation deteriorates
Solution Approach 1:
The patent performs authentication and authorization checks in advance before data transfer occurs. By verifying credentials and establishing trust relationships beforehand, the system ensures security without requiring repeated complex authentication steps during actual data access, thereby improving ease of operation.
Data Source
AI summary
A computer implemented method for securely sharing underlying data of a data owner to a data recipient is disclosed. In an embodiment said method comprises the steps of providing access to underlying data to a sharing intermediary; providing personalised data confidence information to the sharing intermediary; storing said underlying data and said personalised data confidence information at the sharing intermediary, supplying a data passphrase generated by the sharing intermediary to the data owner that uniquely identifies said underlying data; supplying the data passphrase and the data confidence information to the data recipient; providing the data passphrase and the data confidence information to the sharing intermediary; checking whether the data passphrase is associated with stored underlying data; and supplying the underlying data from the sharing intermediary to the data recipient if the data confidence information matches the personalised data confidence information associated with the underlying data.