Credential Store Graph Normalization for Synchronization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional credential store systems face desynchronization and inconsistent user experiences due to the storage of disparate authentication mechanisms and services, leading to unexpected security behaviors and inefficiencies in managing user credentials across multiple computing systems.
Innovation Solution
A method involving the normalization and merging of credential stores by generating graphs from user credentials, analyzing nodes and subnodes across multiple data structures, and creating an output data structure that identifies logical correlations, enabling efficient synchronization and management of credentials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If credential stores are stored in chronological order as features are added or improved, then the storage process is simple and straightforward, but multiple copies of credential stores on various computing systems become desynchronized and result in inconsistent user experience and unexpected security behavior
Solution Approach 1:
The credential store is segmented into multiple versions (e.g., v1, v2, v3) that are stored separately rather than overwriting each other. Each version maintains its own chronological structure, allowing simple sequential storage while enabling reliable synchronization through version tracking and selective merging of changes across versions.
2Ease of operation
If credential stores are stored in chronological order, then the storage process is simple, but it leads to desynchronization and inconsistent user experience across multiple computing systems
Solution Approach 1:
The system dynamically tracks changes in credential stores across different versions and computing systems. When updates occur, the system identifies affected versions and propagates changes appropriately, enabling adaptive synchronization that maintains consistency across diverse computing environments while preserving simple chronological storage operations.
3Device complexity
If conventional credential store systems store user credentials in a centralized manner, then the system structure is simple, but it leads to unexpected security behaviors and inefficiencies in managing user credentials across multiple computing systems
Solution Approach 1:
The centralized credential store is segmented into multiple versioned copies distributed across computing systems. Each version maintains security integrity independently, and version tracking enables the system to identify and propagate security-related changes consistently across all systems, eliminating unexpected security behaviors while maintaining manageable system structure.
Data Source
AI summary
One or more data structures are received by a computing device, wherein the one or more data structures include at least one or more user credentials. The one or more user credentials are normalized by the computing device to generate a first graph. One or more nodes of the first graph and one or more nodes of at least a second graph are analyzed by the computing device, wherein analyzing includes at least identifying a logical correlation between the one or more nodes of the first graph and the one or more nodes of at least the second graph. A third graph is generated by the computing device based, at least in part, upon the analysis of the one or more nodes of the first graph and the one or more nodes of at least the second graph. An output data structure is generated by the computing device based, at least in part, upon the third graph.