Personalized Information Database Segmentation for Secure Access
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Solution Overview
Problem
Existing methods for digitizing personal data, such as the 'Mobile ID' application, do not allow for automatic updates and fail to differentiate access rights based on user groups, limiting practical applications and security.
Innovation Solution
A method involving a database divided into separate areas with access codes, automatically updating user information, generating graphic codes for access, and granting access based on matching codes, using blockchain technology for secure storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal data is stored in a centralized database like the Mobile ID application, then data access is simplified, but automatic updates cannot be implemented and security is compromised
Solution Approach 1:
The database is divided into multiple separate areas, each storing specific types of personal data (passport information, vehicle data, medical records, etc.). Each area has its own access code, allowing selective access based on user group permissions. This segmentation enables both simplified access through a single database interface and enhanced security through granular access control.
Solution Approach 2:
Different areas of the database have different access rights assigned to different user groups. For example, border guards can access passport and border crossing data, while medical personnel can access health records. This local quality approach allows each user group to access only the specific data areas relevant to their function, improving both operational ease and security.
2Adaptability or versatility
If all personal information is made accessible to all user groups, then any user can access any data, but security and privacy are compromised
Solution Approach 1:
The patent implements differential access rights where each user group is assigned specific access codes for specific database areas based on their functional requirements. Border guards receive access codes for passport and border crossing areas, while doctors receive access codes for medical record areas. This ensures high adaptability for different user needs while maintaining strict security and privacy protection.
Solution Approach 2:
The database is segmented into multiple isolated areas with distinct access control. This segmentation prevents any single user group from accessing all data, thereby protecting privacy and security while still providing versatile access to authorized personnel for their specific needs.
3Ease of manufacture
If the database structure is simplified for easy access, then implementation is easier, but automatic updates and differentiated access rights cannot be implemented
Solution Approach 1:
The database is organized as a structured system with clearly defined separate areas, each with specific data types and access codes. This segmentation provides a straightforward implementation approach while enabling automatic updates through centralized database management and differentiated access control through the access code system.
Solution Approach 2:
The database structure is designed to be universally applicable to multiple user groups and data types. The same database framework supports various user groups (border guards, doctors, customs officers, etc.) with different access rights, and can store diverse data types (personal information, health records, vehicle data, etc.), providing both ease of implementation and high adaptability.
Data Source
AI summary
The methods for acquiring personalized information about a user entail forming a database of personalized information about the user. The database of personalized information about the user is divided into separate areas, each of which corresponds to a specific group of user data, and has its access code stored in the database of personalized information about the user. The user's actions are automatically tracked.