Rotational Data Containers for Secure Access and Resource Efficiency
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Solution Overview
Problem
Ensuring the integrity and confidentiality of large data sets while optimizing resource utilization and bandwidth in enterprise computing systems is challenging, particularly when accessing and transferring sensitive data across networks.
Innovation Solution
Implementing a computing platform that uses rotational datasets and dynamically configurable data containers to authenticate and manage access requests, enforce access rules, and rotate data tracks to align datasets with appropriate containers for secure information retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional static access control methods are used to ensure data security, then information security is maintained, but resource utilization and system efficiency deteriorate due to inability to dynamically adapt to different access patterns
Solution Approach 1:
The patent implements dynamic access control by rotating datasets between different storage locations based on access patterns and security requirements. The system dynamically configures data containers and adjusts access rules in real-time, transforming static access control into a dynamic system that adapts to changing conditions while maintaining security and optimizing resource utilization
Solution Approach 2:
The system changes security parameters dynamically by adjusting access rules, data container configurations, and dataset locations based on authentication results and access patterns. This allows the system to modify security parameters in response to different access scenarios, resolving the contradiction between maintaining security and optimizing performance
2Speed
If data is stored in fixed locations for efficient retrieval, then access speed is improved, but security is compromised because unauthorized access cannot be dynamically controlled
Solution Approach 1:
The system performs preliminary authentication and dataset rotation actions before actual data access. By pre-configuring data containers and rotating datasets to appropriate locations based on authenticated access patterns, the system ensures both security verification and optimal access speed are achieved before data retrieval operations commence
3Reliability
If access control rules are made restrictive to prevent unauthorized access, then security is improved, but system versatility and ease of operation deteriorate due to limited access flexibility
Solution Approach 1:
The patent applies different access control rules and security measures to different datasets, data containers, and access scenarios rather than using uniform restrictive rules. This localized approach allows the system to maintain high security where needed while providing flexible access where appropriate, resolving the contradiction between security and versatility
Data Source
AI summary
Aspects of the disclosure relate to controlling access to secure information resources using rotational datasets and dynamically configurable data containers. A computing platform may receive, from a requesting system, a data access request. After authenticating the requesting system, the computing platform may load, using a first data container, first source data from a data track. The computing platform may send the first source data to a second data container. Then, the computing platform may load, using the second data container, second source data from the data track and may produce a first combined dataset. The computing platform may send the first combined dataset to a third data container. Subsequently, the computing platform may load, using the third data container, third source data from the data track and may produce a second combined dataset. Thereafter, the computing platform may send, to the requesting system, the second combined dataset.