Password Access via Semantic Graphs for Recall-Friendly Authentication
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Solution Overview
Problem
Users frequently forget nonsensical alphanumeric passwords, making password management cumbersome, while memorable items like places or songs are easily remembered.
Innovation Solution
A data management platform ties password access to emotionally relevant items using a semantic graph and zero-knowledge database, enabling recall-memory access by associating passwords with memorable nodes and edges, and providing secure storage and intelligent retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If alphanumeric passwords are used to improve security, then password strength is improved, but ease of operation deteriorates due to difficulty in creation and remembering
Solution Approach 1:
The patent introduces a semantic graph as an intermediary between the user and the password system. This graph contains emotionally relevant items (places, songs, images) that serve as mnemonic devices. The system maps passwords to these memorable nodes and edges in the semantic graph, allowing users to recall passwords through familiar emotional associations rather than directly remembering complex alphanumeric strings.
2Reliability
If complex alphanumeric passwords are used, then security is improved, but loss of information increases due to frequent forgetting and password resets
Solution Approach 1:
The system enables self-service password recovery by leveraging the user's existing emotional memories. When a user needs to recover a password, the system guides them through their semantic graph containing emotionally relevant items they already remember. This eliminates the need for password reset procedures, reducing both time loss and the cycle of forgetting and recreating passwords.
3Ease of operation
If memorable items are used for password access, then ease of operation is improved, but device complexity increases due to semantic graph and zero-knowledge database requirements
Solution Approach 1:
The semantic graph serves multiple functions simultaneously: it stores passwords, provides mnemonic associations for recall, enables secure authentication, and facilitates password recovery. The zero-knowledge database also performs multiple roles by securing sensitive data while allowing verification without exposing the actual passwords. This multi-functionality reduces the need for separate systems for each function.
Data Source
AI summary
With a multitude of passwords in today's technologically enhanced world, where each password is a string of nonsensical alphanumeric characters, the user can easily forget a particular password. However, while users frequently forget a nonsensical password, users easily remember places, favorite songs, or other emotionally relevant items. The system disclosed here enables a user to access passwords in a recall-memory enhancing manner by tying password access to memorable items such as places, songs, images or other emotionally relevant items.


