Granular Resource Access Control With Minimum Permission Updates
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Solution Overview
Problem
Conventional systems are inefficient in managing access control for users to access resources, particularly in complex data management systems with granular permission requirements, leading to difficulties in navigating multiple permissions and inefficient use of time and computing resources.
Innovation Solution
A computing system that determines and automatically grants permissions based on the difference between desired and existing access levels, involving a method for generating access requests, notifying reviewers, and granting permissions upon approval, while minimizing disclosure of protected information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional access control systems are used to manage permissions in complex data management systems, then access control can be implemented, but the system becomes inefficient and difficult to navigate due to multiple granular permission requirements
Solution Approach 1:
The system automatically determines the difference between desired and existing access levels, and automatically grants permissions upon approval. This self-service automation eliminates manual navigation through multiple permission settings, significantly improving efficiency while reducing the perceived complexity for users.
Solution Approach 2:
The system changes the parameter of access level determination by calculating the difference between desired and existing access levels. This parameter-based approach simplifies the complex permission management process by focusing on the specific change needed rather than navigating through all possible permission configurations.
2Loss of time
If manual permission management is used, then flexibility in access control is maintained, but time and computing resources are wasted due to inefficiency
Solution Approach 1:
The system performs preliminary determination of the access level difference before granting permissions. By pre-calculating the exact permission changes needed and preparing the access request with this information, the system eliminates time-wasting manual navigation and speeds up the entire permission granting process.
Solution Approach 2:
The automated system determines and grants permissions without manual intervention, significantly reducing the time consumption associated with manual permission management while improving overall productivity in access control processes.
3Ease of operation
If broad access permissions are granted to simplify access control, then ease of access is improved, but security is compromised by allowing excessive access
Solution Approach 1:
The system precisely determines the difference between existing and desired access levels, granting only the specific permission changes needed. This parameter-based approach maintains security by avoiding broad permissions while ensuring ease of access through automated, precise permission granting.
Solution Approach 2:
The automated determination of minimum permission updates ensures that only necessary access is granted, preventing excessive permissions while maintaining ease of operation through automation. The system self-regulates to grant the exact amount of access needed, no more and no less.
Data Source
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AI summary
In some examples, systems and methods for managing access control to one or more resources are provided. An example method includes receiving a permission request for a user to access the one or more resources, generating an access request based at least in part on the permission request, notifying one or more reviewers to review the access request, receiving an indication of the access request being approved, and automatically granting permission to the user to access the one or more resources.