Baggage Data Categorization for Trust-Based Access Control
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Solution Overview
Problem
Conventional data processing systems, particularly in the air transport industry, do not provide a platform that sets rules and controls how data is used and by whom, leading to sensitive and operational data being stored together, restricting access for other parties.
Innovation Solution
A system that manages data elements according to categories, providing a trust framework for access control and data sharing, using a hierarchical data taxonomy approach to ensure secure and granular data filtering based on trust levels and access rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If all data elements are stored together in the same database tables, then data storage simplicity is improved, but data security and access control deteriorate
Solution Approach 1:
The patent segments data elements into different categories (e.g., operational data, personal data, sensitive data) and implements separate storage structures for each category. This allows the system to maintain simple storage for operational data while providing enhanced security and access control for sensitive data categories, resolving the contradiction between storage simplicity and data security.
2Productivity
If all data elements are sent in the same events, then data transmission efficiency is improved, but access control and data protection deteriorate
Solution Approach 1:
The patent applies local quality by implementing category-specific access control rules within the event transmission framework. Different data categories within the same event can have different access permissions and filtering rules applied locally, allowing efficient transmission of all data while maintaining granular access control for sensitive information.
3Reliability
If a trust framework with granular data filtering is implemented, then data security and access control are improved, but system complexity deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-categorizing data elements into defined categories with associated access rules before transmission. The trust framework pre-establishes filtering rules for each data category, so that during runtime, the system can efficiently apply pre-defined filters rather than making complex decisions for each data element, reducing operational complexity while maintaining security.
4Adaptability or versatility
If different categories of data are treated differently, then data protection and selective sharing are improved, but data processing complexity deteriorates
Solution Approach 1:
The patent implements universality by creating a unified data category framework that can be applied across multiple data types and transmission scenarios. The same categorization and filtering mechanism handles different data categories (operational, personal, sensitive) consistently, providing selective sharing capabilities without requiring separate processing logic for each data type, thus reducing overall complexity.
Data Source
AI summary
A computing device can receive a requestor identifier associated with a data requestor and a unique identifier associated with an item of baggage. The computing device can determine, based on the requestor identifier, a trust level associated with the data requestor. The computing device can receiving one or more data elements associated with the unique identifier and one or more baggage events of the item of baggage and determine a data category associated with each data element of the one or more data elements, wherein each data category has an associated ranking. The computing device can construct based on the ranking associated with each data category and the trust level associated with the data requestor, a set of data elements for the data requestor from the received one or more data elements.