Flexible Referential Data Structures for Secure Contextual Access
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Solution Overview
Problem
Existing data structures lack flexibility in organization and access, leading to inefficient management and sharing of sensitive data.
Innovation Solution
A flexible referential data structure that allows secure uploading, storing, relating, and sharing of data elements like documents, contacts, and locations, with encryption and contextual linking, enabling efficient access and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data structures have rigid organization, then data storage is secure and controlled, but access to data structures is limited and inefficient
Solution Approach 1:
The patent implements dynamic data structures where the organization and access methods can adapt based on user needs and data types. The system allows flexible configuration of data elements, relationships, and access permissions that can be modified without restructuring the entire system, enabling both secure storage and efficient access.
Solution Approach 2:
The system changes parameters such as access permissions, data relationships, and organizational structure dynamically based on user roles, data sensitivity, and operational context. This allows the same data structure to provide different levels of access and organization flexibility without compromising security.
2Ease of operation
If data structures lack organization, then access to data structures is liberal and flexible, but data management becomes inefficient and uncontrolled
Solution Approach 1:
The patent segments data into organized elements, containers, and relationships that maintain structure while allowing flexible access. Data is divided into manageable units with defined relationships, enabling both liberal access and efficient management through modular organization.
Solution Approach 2:
The data structure system provides universal access methods that work across different data types and organizational levels. A single flexible interface allows users to access data in various formats and granularities without requiring separate management systems, maintaining both flexibility and efficiency.
3Reliability
If data is encrypted with unique keys, then data security is enhanced, but data access and sharing becomes more complex
Solution Approach 1:
The patent introduces intermediary components such as key management systems, decryption services, and access control mechanisms that handle the complexity of unique encryption keys. These intermediaries shield users from key management complexity while maintaining strong security through automated key distribution, storage, and rotation.
Solution Approach 2:
The system creates and manages copies of encrypted data and encryption keys across multiple secure locations and users. Through controlled replication and distribution of data copies with appropriate access permissions, the system maintains security while simplifying access management through redundancy and distributed key storage.
Data Source
AI summary
Various implementations disclosed herein secure data structures for the uploading, storing, relating, supplementing, and sharing of data and providing notification and action regarding the same. In some examples, data such as or relating to documents, contacts, locations, and tangibles may be uploaded and stored in a secure data structure. The uploaded and stored data may be related, referenced, or otherwise linked to other uploaded stored data (e.g., documents, contacts, locations, and tangibles) in limitless combinations. This referential data may provide express contextual clues regarding the physical locations of important documents and/or the people related to such documents, which may be beneficial in situations where such documents need to be found by third parties.