Dynamic Data Container Management for Real-Time Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data containerization technologies are static, preventing updates to data within containers, which leads to stale data issues when shared or if the original data source is updated, posing risks of data leaks and inefficiencies.
Innovation Solution
A data management system with a data access controller that enables containerization, de-containerization, and re-containerization processes, allowing real-time modifications and updates to be reflected within data containers, using modules like containerization, de-containerization, and re-containerization modules to manage access and encryption dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data containerization is used to protect confidential data, then data security is improved, but data cannot be updated while maintaining security
Solution Approach 1:
The patent transforms static data containers into dynamic containers that can be updated. The system allows data within containers to be modified, synchronized, and refreshed while maintaining security controls. The containerization module enables real-time updates to containerized data through de-containerization, modification, and re-containerization processes, making the security system adaptable to changing data requirements.
Solution Approach 2:
The patent segments the data container into modular components that can be independently updated. The system divides data containers into manageable units that can be selectively de-containerized, modified, and re-containerized. This segmentation allows specific data portions to be updated without compromising the entire container structure or security framework.
2Reliability
If static containerization is implemented, then data protection is maintained, but stale data issues occur when original data sources are updated
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors and synchronizes containerized data with original data sources. The data synchronization module detects updates at the source and propagates them to containerized data, ensuring containers always contain current information. This feedback loop maintains both security and data freshness simultaneously.
Solution Approach 2:
The system performs preliminary actions by establishing synchronization protocols before data staleness occurs. The containerization module proactively updates containerized data based on changes detected at the source, preventing stale data conditions before they arise. This proactive approach ensures data protection is maintained while preventing information loss.
3Adaptability or versatility
If data is shared outside the container for updates, then data can be modified, but data leaks and security risks increase
Solution Approach 1:
The patent introduces the containerization module as an intermediary between data users and the actual data. All data access, modification, and sharing operations occur through this secure intermediary layer. The module enables data to be de-containerized for legitimate updates under controlled conditions and immediately re-containerized, preventing direct exposure of sensitive data and eliminating data leak risks while maintaining modification capabilities.
Data Source
AI summary
The embodiments herein relate to discrete data containers and, more particularly, to management of data stored in discrete data containers. Embodiments herein disclose methods and systems to update data present within a data container, when a user accessing the data, present within the data container, has updated the data. Embodiments herein disclose a method and system for enabling modifications of data present in data containers, wherein de-containerized data associated with a data container can be modified by at least one user and the modifications by the user can be reflected in real-time to the data in the data container.