Data Stream Identity Segmentation for Entity Access Control
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Solution Overview
Problem
Current systems lack the capability to associate data streams with entity-specific data segments and apply distinct authorization requirements to overlapping segments, failing to manage identities effectively across multiple entities involved in data streams.
Innovation Solution
Assigning unique identifiers to individual data sets within a data stream, allowing for granular management of lifecycle and access control, and using identity servers to analyze ownership, filter, and control access to specific data portions based on entity-specific policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data streams are treated as single unified entities, then management simplicity is maintained, but entity-specific access control and authorization cannot be applied to different segments
Solution Approach 1:
The patent divides data streams into discrete data segments that can be individually identified and managed. Each segment is associated with specific entities through unique identifiers, enabling granular access control while maintaining overall stream management capability. This segmentation allows different entities to access specific portions of data according to their authorization policies.
Solution Approach 2:
The patent introduces data segment identifiers as intermediary elements that mediate between the data stream and access control mechanisms. These identifiers act as references that link specific data segments to entities and their authorization policies, enabling the system to manage access control without requiring complex modifications to the data stream structure itself.
2Measurement precision
If multiple entities are associated with different portions of data streams, then access control precision is improved, but system complexity increases due to overlapping segments and multiple policies
Solution Approach 1:
By segmenting the data stream into discrete portions with unique identifiers, the system can precisely track which segments belong to which entities. This segmentation approach simplifies the management of overlapping segments by treating each segment independently, reducing the complexity of managing multiple policies across a unified stream.
Solution Approach 2:
The patent applies different access control policies to different data segments based on their specific characteristics and associated entities. Each segment can have its own authorization requirements and access control settings, allowing the system to manage complexity at the local segment level rather than attempting to manage all segments uniformly across the entire stream.
3Measurement precision
If data segments are broken down into non-contiguous portions, then entity-specific identification is improved, but data integrity and continuity may be compromised
Solution Approach 1:
The patent segments data into non-contiguous portions while maintaining logical associations through unique identifiers. This segmentation allows the same entity to be identified across dispersed segments without requiring the data to be continuous, as the identifier serves as a persistent reference that maintains entity identity regardless of segment position or continuity.
Data Source
AI summary
Systems and methods for managing data stream identity are provided. Ownership information regarding a data stream may be analyzed to identify at least one owner. The data stream may be filtered to identify at least one portion that is associated with the identified owner. A unique identifier may be assigned to the identified portion. The identified portion may be stored in memory in association with the assigned unique identifier and information regarding the identified owner. Access to the identified portion may be controlled based on settings set by the identified owner.