Enhanced Data Container with Embedded Intelligence and Security
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Solution Overview
Problem
Current data usage paradigms in computing environments rely on applications for intelligence and functionality, leading to static data with limited interoperability, security, and control, requiring extensive external application code for data manipulation and management.
Innovation Solution
An enhanced data container with an encryption layer and processor that encapsulates functional components, including a unique identifier, navigation, and communication functions, allowing for extensible and secure data interaction and processing, bringing intelligence directly to the data and enabling granular control and interoperability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is made static with simple metadata, then data storage is simple, but data functionality and interoperability are limited
Solution Approach 1:
The patent implements nesting by placing functional components, metadata, and data within a hierarchical container structure. The data container itself becomes an intelligent entity that can be nested within other containers or systems, allowing functionality to be embedded at multiple levels without increasing overall system complexity.
Solution Approach 2:
The enhanced data container is designed to perform multiple functions: it stores data, provides encryption, enables navigation, facilitates communication, and supports extensible characteristics. This multi-functionality allows a single data structure to serve various purposes across different systems, improving interoperability without requiring separate specialized structures for each function.
2Ease of operation
If applications contain all intelligence for data manipulation, then application control is strong, but system complexity and maintenance difficulty increase
Solution Approach 1:
The data container is designed to be self-contained with embedded functional components that enable it to perform its own manipulation, navigation, and communication tasks. This self-service capability reduces the need for extensive external application code, simplifying system maintenance while maintaining strong data control through the container's inherent intelligence.
3Adaptability or versatility
If multiple competing data formats are used, then system flexibility is high, but interoperability between systems deteriorates
Solution Approach 1:
The enhanced data container serves as a universal format that can represent various types of data while maintaining consistent structure and functionality across different systems. Its standardized approach to encryption, navigation, and communication enables reliable interoperability between diverse systems without requiring multiple competing formats.
4Reliability
If static metadata is used for data description, then data structure is simple, but data security and integrity protection are insufficient
Solution Approach 1:
Encryption and security functions are nested within the data container structure itself, allowing security mechanisms to be integrated without significantly increasing external complexity. The container's hierarchical design places security functions at appropriate levels, enabling protection of data integrity and confidentiality while maintaining a manageable structure.
Data Source
AI summary
A variety of tools and techniques are disclosed for creating and managing an enhanced data container. The enhanced data container is comprised of extensible characteristics that when processed interact with a variety of computing devices and computing device components. The enhanced data container is communicated to a variety of computing devices in varying ways and processing of the enhanced data container is coupled with additional systems to manage the enhanced data container by as controlling the number of instances in a system, assigning virtual or real monetary value to instances, assign unique identifiers to instances, and allowing the enhanced data container to be modified by inputs and rendered or transmitted to outputs of computing devices. These technologies bring additional functionality and levels of interaction to data in consumer and business applications.


