Rotational Datasets and Data Containers for Secure Access Control
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Solution Overview
Problem
Enterprise computer systems face challenges in ensuring the integrity and confidentiality of sensitive data while optimizing resource and bandwidth utilization during data access and transfer, as existing methods struggle to effectively manage access control and security across networks.
Innovation Solution
The implementation of a computing platform that uses rotational datasets and dynamically configurable data containers to authenticate and manage access requests, enforcing access rules and rotating data tracks to align datasets with appropriate containers, ensuring secure information exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional access control methods are used to ensure data security, then data integrity and confidentiality are protected, but resource utilization and bandwidth efficiency deteriorate
Solution Approach 1:
The patent implements dynamic data container allocation and rotational dataset management, where data containers are dynamically assigned to datasets based on access requests, and datasets are rotated into active positions only when needed. This dynamic approach maintains security through controlled access while optimizing resource utilization by keeping only necessary datasets in active memory, resolving the contradiction between security reliability and productivity.
Solution Approach 2:
The system performs preliminary authentication of reader-writer systems before granting access to datasets. By pre-establishing security credentials and authentication mechanisms, the system ensures data integrity and confidentiality from the outset, while avoiding the need for repeated security checks that would degrade resource utilization and bandwidth efficiency during normal operations.
2Reliability
If strict access control measures are implemented to prevent unauthorized access, then security is improved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent introduces data containers as intermediary objects between reader-writer systems and datasets. These containers act as security mediators that enforce access rules and control data flow without requiring complex security logic in every accessing system. The container-based intermediary simplifies the overall system complexity while maintaining robust security through centralized access control mechanisms.
3Productivity
If data is kept readily accessible for efficient operations, then productivity improves, but security risks and unauthorized access potential increase
Solution Approach 1:
The patent segments data storage into multiple datasets organized in a rotational structure, with only one dataset actively accessible at a time through data containers. This segmentation allows efficient operations by keeping the active dataset readily accessible in memory, while other datasets remain in rotated/inactive positions that are not directly accessible, thereby reducing unauthorized access risk while maintaining productivity for active data operations.
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 first reader-writer system, a first data access request. Based on receiving the first data access request, the computing platform may authenticate the first reader-writer system using a first data container object. After authenticating the first reader-writer system, the computing platform may rotate a first data track comprising a plurality of datasets to align a first dataset of the plurality of datasets with the first data container object. After rotating the first data track, the computing platform may retrieve first information from the first dataset using the first data container object. Subsequently, the computing platform may send, to the first reader-writer system, the first information retrieved from the first dataset using the first data container object.


