Dynamic Access Control via Knowledge Map Inference

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Solution Overview

Problem

Current access control methods for organizations with large numbers of digital assets and members are inefficient and prone to inaccuracies due to manual manipulation and static data storage.

Innovation Solution

A dynamic access control method utilizing a knowledge map to maintain access control information, allowing for efficient and accurate querying and control of access permissions through an inference engine and application module.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If access control information is stored statically in data structures such as tables, then the system structure is simple and easy to implement, but the efficiency and accuracy of access permission query results deteriorate due to heavy manual manipulation and inability to dynamically adapt

Engineering Contradiction:

Improveease of implementationVSAvoidquery efficiency

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The patent transforms the static access control data structure into a dynamic knowledge graph that can automatically adapt to organizational changes. The knowledge graph dynamically maintains access control information and relationships, enabling real-time updates without manual intervention and improving query efficiency while maintaining implementation feasibility.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent replaces manual manipulation of static data structures with an automated inference engine that queries the knowledge graph. This substitution eliminates heavy manual operations and provides efficient, accurate access permission queries through automated reasoning over the dynamic knowledge representation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of manufacture

If access control information is stored statically in data structures such as tables, then the system structure is simple and easy to implement, but the accuracy of access permission query results deteriorates due to manual errors and lack of dynamic updates

Engineering Contradiction:

Improveease of implementationVSAvoidquery accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The knowledge graph provides dynamic maintenance of access control information, automatically updating relationships as organizational structures change. This eliminates manual errors and ensures accurate, up-to-date access permission queries without sacrificing implementation simplicity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The inference engine continuously queries the knowledge graph to determine access permissions based on current organizational relationships. This feedback mechanism ensures that access control decisions are always based on the most accurate and current information, improving query accuracy while maintaining system simplicity.

Inventive Principle:

Principle #23Feedback

3Use of energy by moving object

If manual manipulation is used to manage access control in large organizations, then the system requires less computational resources, but the efficiency and accuracy deteriorate due to heavy manual intervention

Engineering Contradiction:

Improvecomputational resource usageVSAvoidaccess control efficiency

Core Design Contradiction:

Use of energy by moving objectVSProductivity

Solution Approach 1:

The knowledge graph and inference engine enable the access control system to self-manage by automatically maintaining and querying access permission information. This eliminates heavy manual intervention while maintaining reasonable computational resource usage, significantly improving access control efficiency in large organizations.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual manipulation with an automated inference engine that efficiently queries the knowledge graph. This substitution reduces the computational burden of manual operations while dramatically improving access control efficiency and accuracy through automated reasoning.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Use of energy by moving object

If manual manipulation is used to manage access control in large organizations, then the system requires less computational resources, but the accuracy of access permission queries deteriorates

Engineering Contradiction:

Improvecomputational resource usageVSAvoidquery accuracy

Core Design Contradiction:

Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The inference engine automatically queries the knowledge graph to determine access permissions with high accuracy. This self-service mechanism eliminates manual errors while maintaining efficient computational resource usage, improving query accuracy without excessive resource consumption.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces error-prone manual operations with an automated inference engine that accurately queries the knowledge graph. This substitution improves query accuracy through automated reasoning while keeping computational resource requirements manageable.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250148064A1Method and Device for Dynamic Access Control

Publication Date: 2025.05.08 ROBERT BOSCH GMBH

AI summary

A method for dynamic access control includes receiving a query request associated with a specific person within an organization and a target access object for which access control is to be performed. The method also includes utilizing an access control knowledge map for inferences based on the query request, and returning a query result according to the inferences. The query result indicates an access permission of the specific person for the target access object.