Personal Data Sharing Platform with Attribute-Level Encryption
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Solution Overview
Problem
Existing systems lack secure and efficient methods for transferring personal data between different computer devices while ensuring user control and consent, and existing encryption methods limit the ability of computer systems to evaluate and analyze encrypted data effectively.
Innovation Solution
A personal data sharing platform that provides data categories and data types for approved data packet transfer between user accounts, with individually encrypted data values and unencrypted attributes, allowing secure and efficient transfer while enabling evaluation and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional encryption methods are used to secure personal data transfer, then security is improved, but the ability of computer systems to evaluate and analyze the data is worsened
Solution Approach 1:
The patent segments personal data into distinct attributes (e.g., name, age, location) and applies individual encryption to each attribute. This allows the system to maintain security while enabling selective access and analysis of specific unencrypted attributes, thus resolving the contradiction between security and data analyzability.
Solution Approach 2:
The patent applies different encryption states to different parts of the data structure - some attributes are individually encrypted while others remain unencrypted or are encrypted with different key types. This local differentiation enables computer systems to evaluate and analyze specific attributes without decrypting the entire data set, maintaining both security and analytical capability.
2Reliability
If individual encryption is applied to each data value, then security is enhanced, but data transfer efficiency and system processing speed are reduced
Solution Approach 1:
By segmenting data into individual encryptable attributes, the system can apply encryption only where necessary and for specific time periods, rather than encrypting entire data sets. This selective approach enhances security for sensitive attributes while maintaining transfer efficiency for non-sensitive or temporarily unencrypted data.
Solution Approach 2:
The patent implements preliminary encryption of individual attributes before data transfer, allowing the encryption process to be completed in advance. This enables the data to be transmitted in an already-encrypted state, reducing processing time during actual transfer operations while maintaining high security standards.
3Reliability
If user control and consent mechanisms are implemented for data transfer, then privacy protection is improved, but system complexity and operational overhead are increased
Solution Approach 1:
The patent enables users to directly control which attributes of their personal data are encrypted and for how long, without requiring complex intermediary approval systems. Users can manage their own encryption preferences and consent settings, simplifying the overall system architecture while maintaining strong privacy protection through user-autonomous decision-making.
Data Source
AI summary
An indication that data packets of personal data that correspond to data packet types for data categories are approved for transfer between user accounts via the personal data sharing platform is provided. A first data packet identifying first personal data that is related to a first user of the first user account is received. The first data packet includes first personal data values that correspond to first attributes specified by a first data packet type and that have been individually encrypted at first user account. Whether the first data packet satisfies a condition that the first data packet include data values for each of the first attributes specified by the first data packet type for a first data category is determined. Responsive to determining that the first data packet satisfies the condition, the individually encrypted first personal data values and the corresponding first attributes are stored at a data store.