Centralized Personal Data Database with Encrypted Relational Storage
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Solution Overview
Problem
Existing methods fail to securely and efficiently manage and share diverse types of personal information across multiple users and service providers, leading to vulnerabilities in data privacy and accuracy, especially in electronic communications, which complicates business transactions and data analytics.
Innovation Solution
A software system that uses encrypted, relational databases to securely store and share personal information, assigning unique user identities and authorizing access, with conditional sharing options and multifactor authentication, ensuring data integrity and privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal information is stored in separate databases for each service provider, then data access is simplified for individual providers, but data accuracy, authoritativeness, and the ability to perform cross-information analytics are compromised
Solution Approach 1:
The patent merges multiple service provider databases into a single centralized database that stores all personal information types (address, contact, credit, employment, familial, financial, health, legal, immigration, insurance, medical, travel, and purchase data) in one location. This consolidation enables centralized control over data accuracy and authoritativeness while maintaining the ability to serve multiple providers simultaneously through controlled access mechanisms.
Solution Approach 2:
The centralized database is designed to serve multiple functions: it acts as a single source of truth for all personal information, provides authorized access to multiple service providers, enables cross-information analytics, and maintains data integrity through centralized management. This multi-functional design resolves the contradiction by making the database system universally applicable to various data access needs while ensuring reliability.
2Reliability
If manual data conveyance between user and service provider is used, then data security is maintained, but efficiency and timeliness of data access are reduced
Solution Approach 1:
The patent introduces a centralized database as an intermediary between the user and multiple service providers. This intermediary enables automated, efficient data access while maintaining security through controlled authorization mechanisms. The database acts as a trusted mediator that allows electronic exchange of personal information without requiring manual conveyance, thus improving efficiency while preserving security through centralized control.
Solution Approach 2:
The patent replaces the manual mechanical process of data conveyance with an automated electronic system. The centralized database enables automatic data retrieval and sharing through electronic communications, eliminating the need for manual data transfer while implementing security measures such as authorized access controls, encryption, and audit trails to maintain data protection.
3Productivity
If electronic exchange of personal data is implemented, then communication convenience and service efficiency are improved, but data vulnerability to unauthorized disclosure increases
Solution Approach 1:
The centralized database serves as a secure intermediary that enables electronic data exchange while protecting against unauthorized disclosure. It implements security measures including authorized access controls, encryption, and audit mechanisms that prevent unauthorized access during electronic transmission, thus maintaining communication efficiency while reducing vulnerability.
Solution Approach 2:
The patent creates a secure, controlled environment (inert atmosphere) for storing and accessing personal information through the centralized database. This secure environment protects data from unauthorized access during electronic exchange by implementing authentication mechanisms, access controls, and encryption, allowing efficient electronic communication while neutralizing the vulnerability to unauthorized disclosure.
4Adaptability or versatility
If information from multiple service providers is collected for single service transactions, then service completeness is improved, but data collection complexity and time consumption increase
Solution Approach 1:
The patent merges data from multiple service providers into a single centralized database, eliminating the need to collect information from multiple separate sources. This consolidation provides service completeness by making all required personal information types (address, contact, credit, employment, familial, financial, health, legal, immigration, insurance, medical, travel, and purchase data) available in one location, while reducing collection complexity through centralized access.
Solution Approach 2:
The centralized database is designed to provide universal access to all types of personal information needed for various service transactions. It serves multiple functions by supporting different service providers and transaction types simultaneously, enabling complete service delivery without increasing collection complexity, as all data is already consolidated and accessible through a single system.
Data Source
AI summary
The present invention provides a means for efficiently and securely collecting, storing, and sharing all types of personal, electronic information from, for and between individuals and business users using software that runs on multiple personal, business and cloud computing systems. The information of a primary user is stored in an encrypted relational database which associates the private data with private data fields needed by secondary users or various business users. Each entity is assigned one unique user identity to ensure consistency in data privacy and sharing. Attributes for data groups exist to define the secondary users and business users who the primary user has authorized for access to or master sourcing of certified data. Change lists, including conditions for implementation, are created to facilitate management, scheduling and distribution of changes. Collection, storage, and distribution of personal data is assisted by robotic process automation algorithms.