Structured Data Folding With Transmutations for Layered Security
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Solution Overview
Problem
Existing data-centric software designs face challenges in securing and managing data at the point of storage, particularly in demarcating and integrating layered data containerization processes, which can lead to complexity and inefficiencies in data operations and security.
Innovation Solution
The implementation of Structured Data Folding with Transmutations (SDFT) and eNcrypted Userdata Transit & Storage (NUTS) layers, which containerize data in a layered approach, allowing for secure, flexible, and efficient data management through logical operations and encryption, with the ability to dynamically switch transmutation sequences within a session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is containerized in a layered approach with multiple transmutation sequences, then data security and privacy are enhanced, but system complexity and difficulty of implementation increase
Solution Approach 1:
The data containerization system is divided into distinct layers (SDFT layer and NUTS layer), each handling specific transmutation operations. This segmentation allows complex security operations to be broken down into manageable, independent modules that can be implemented and maintained separately, reducing overall system complexity while maintaining security.
Solution Approach 2:
The patent implements nested containerization where the SDFT layer encapsulates data with its own transmutation sequences, and the NUTS layer provides an additional encapsulation layer with its own transmutation sequences. Each layer is self-contained and can operate independently, allowing complex security operations to be organized in a hierarchical structure that manages complexity through clear boundaries and interfaces.
2Reliability
If multiple transmutation sequences are implemented for data operations, then data privacy and security are improved, but operational efficiency and processing speed decrease
Solution Approach 1:
The system dynamically selects and applies transmutation sequences based on the specific data operation being performed. Different transmutation sequences are activated depending on whether the operation is reading, writing, or querying data. This dynamic approach ensures that only the necessary security operations are applied in each context, optimizing processing efficiency while maintaining privacy and security.
Solution Approach 2:
The transmutation sequences use variable parameters such as encryption keys, transformation algorithms, and security levels that can be adjusted based on the operation type and data sensitivity. This allows the system to adapt the degree of security applied to each operation, balancing privacy protection with operational efficiency by applying stronger transformations only when necessary.
3Adaptability or versatility
If layered data containerization is implemented, then data management flexibility is enhanced, but ease of operation and implementation difficulty increase
Solution Approach 1:
The containerization system implements universal interfaces and standardized transmutation operations that can handle multiple data types and operations through a common framework. The SDFT and NUTS layers provide multi-functional capabilities that work across different data formats and access patterns, allowing flexible data management through a unified, easy-to-use interface rather than requiring separate implementations for each operation type.
Solution Approach 2:
The transmutation sequences are designed to automatically select and apply appropriate security operations based on the context and data being processed. The system performs self-service by autonomously managing the complex layered containerization operations without requiring manual intervention or deep understanding of the underlying mechanisms, making the flexible system easy to operate.
Data Source
AI summary
A method of processing data includes at least one processor accessing a data storage unit, the data storage unit providing at least one input data object and at least one transmutation command to be performed on the at least one input data object. The at least one transmutation command operates in a forward mode on the at least one input data object to produce at least one output data object to be stored in a data storage unit.