Decentralized User Identity Management via Blockchain Nodes
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Solution Overview
Problem
Centralized databases face issues such as single points of failure, dependency on network connectivity, limited access to data, and difficulties in managing user identities in multi-party platforms, leading to inefficiencies and security concerns.
Innovation Solution
A decentralized database system using blockchain technology that allows multiple nodes to communicate and maintain a distributed ledger, enabling secure, tamper-proof storage and management of user identities through smart contracts and consensus protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used to store and manage data, then data management and control are simplified, but the system has a single point of failure and limited data access
Solution Approach 1:
The patent divides the centralized database into multiple distributed nodes across different locations. Each node maintains a copy of the data, eliminating the single point of failure. The system segments data storage and management functions across multiple independent entities while maintaining coordinated operation through consensus protocols.
2Quantity of substance
If data is stored in a centralized database, then data redundancy is minimized, but data access from multiple locations is limited
Solution Approach 1:
The patent adds a spatial dimension to data storage by distributing data across multiple geographic locations and network nodes. Instead of single centralized storage, data exists across multiple dimensions of the network topology, enabling simultaneous access from various points while maintaining data integrity through replication strategies.
3Productivity
If a centralized database experiences high traffic, then bottlenecks occur, but if distributed, then user identification management becomes complex
Solution Approach 1:
The patent implements self-service mechanisms where each distributed node autonomously manages its local user identification data and validation processes. Nodes independently authenticate users against their local copies of identification data, eliminating the need for centralized user management while maintaining security and consistency through distributed consensus protocols.
Data Source
AI summary
An example operation may include one or more of authenticating a user, by a first system node, based on a first set of user credentials, computing, by the first system node, a second set of user credentials for a second system node, determining, by the first system node, if the second system node has a user with the second set of the user credentials, and responsive to the second system node not having the user with second set of the user credentials, deleting, by the first system node, an existing user of the second system node.