Private Ecosystem Controller for Secure App Data Sharing
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Solution Overview
Problem
Existing mobile communication systems face challenges in securely sharing proprietary or confidential applications, content, and data within private networks, as they often rely on central servers that limit third-party vendors' control over distribution and updates, and fragment memory resources into separate sandboxes, leading to inefficient resource usage and difficulty in data sharing between apps.
Innovation Solution
A private mobile communications ecosystem is implemented, allowing for a restricted network to distribute proprietary applications and data, integrating related apps into a centralized suite on the user device, and using an authorization mechanism to control access, thereby reducing redundant data storage and enhancing resource efficiency and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If central servers are used to distribute applications and data, then distribution control is simplified, but third-party vendors lose control over distribution and updates
Solution Approach 1:
The system segments distribution control into two parts: central servers handle general distribution logistics, while ecosystem controllers at vendor devices manage vendor-specific control over their applications. This segmentation allows both centralized efficiency and decentralized vendor autonomy.
Solution Approach 2:
Ecosystem controllers act as intermediaries between central servers and vendor applications. These controllers enable vendors to maintain control over their app distribution and updates while still utilizing central server infrastructure for broad distribution.
2Reliability
If memory resources are fragmented into separate sandboxes for each app, then security is improved, but data sharing between apps becomes difficult and resource efficiency decreases
Solution Approach 1:
The system merges sandbox isolation with ecosystem-level data sharing by allowing applications within the same ecosystem to access shared data stores. This combines the security benefits of sandboxing with the efficiency of centralized data access for related applications.
Solution Approach 2:
Different data access policies are applied to different applications based on their ecosystem relationships. Applications within the same ecosystem gain enhanced data sharing capabilities while maintaining sandbox security boundaries, creating local quality variations in access permissions.
3Adaptability or versatility
If each application is distributed separately through central servers, then distribution flexibility is improved, but users must search for and locate specific applications one-by-one
Solution Approach 1:
Applications within an ecosystem are merged into a coordinated group that can be distributed and managed together. This allows users to access multiple related applications through a single ecosystem interface rather than searching for each application separately.
Solution Approach 2:
The ecosystem controller provides universal access points for multiple applications within the ecosystem. Users can locate and access any application in the ecosystem through the controller's unified interface, eliminating the need to search for each application individually.
4Device complexity
If central servers control application distribution, then distribution management is simplified, but vendors have little or no control over how their applications are distributed
Solution Approach 1:
Distribution management is segmented between central servers handling logistics and ecosystem controllers handling vendor control. This segmentation resolves the contradiction by assigning different control aspects to different system components.
Solution Approach 2:
The system dynamics allow flexible control allocation where ecosystem controllers can adapt vendor control mechanisms based on specific vendor needs while maintaining overall system coordination through central servers.
Data Source
AI summary
A system and method are disclosed for controlling a restricted ecosystem of software applications. The method may include originating software applications from a vendor, associating a collection of the software applications with a user, controlling the distribution of the collection of software applications to the user, controlling access to the collection of software applications based on user credentials, and controlling the installing and updating of the collection of software applications. The method may additionally include executing a first software application from the collection of software applications, executing a second software application, and transferring data from the first software application to the second software application. The method may additionally include transferring data from the first software application to a web service.