Temporal Entity Identity Resolution via Identifier Parsing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for resolving entity identifiers in computer networks face challenges due to the volatility of identifiers like IP and MAC addresses, software account numbers, and asset tracking numbers, which require additional information beyond the identifier itself to accurately associate with entities over time.
Innovation Solution
A system and method that parse entity identifier information to provide an entity identifier element, classify it, normalize it, and associate it with temporal information to resolve the entity's identity at a specific point in time, enabling real-time identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional identifier resolution methods are used, then the process is simple for constant identifiers, but it becomes inaccurate for volatile identifiers like IP and MAC addresses
Solution Approach 1:
The patent segments the identifier resolution process into distinct phases: parsing the identifier string into elements, classifying each element type, normalizing the elements, and finally resolving the identifier. This segmentation allows the system to handle different identifier types (volatile vs. constant) through appropriate processing paths, improving accuracy without uniformly increasing complexity for all identifiers.
Solution Approach 2:
The patent implements dynamic processing where the resolution approach adapts based on the identifier characteristics. For volatile identifiers, the system dynamically queries temporal data and applies normalization rules, while for constant identifiers, it uses straightforward resolution. This dynamic adaptation resolves the contradiction by adjusting complexity only when necessary for accuracy.
2Measurement precision
If additional temporal information is collected to resolve volatile identifiers, then resolution accuracy improves, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-parsing and pre-classifying identifier elements before the actual resolution process. Temporal information and normalization rules are prepared in advance, allowing the system to quickly match and resolve volatile identifiers without extensive real-time processing, thus reducing the time penalty associated with collecting additional temporal information.
3Productivity
If manual processing of identifier resolution is used, then flexibility is maintained, but processor efficiency decreases
Solution Approach 1:
The patent implements self-service through automated parsing, classification, and normalization processes that operate without manual intervention. The system automatically determines identifier types, applies appropriate normalization rules, and resolves identifiers using temporal data, thereby dramatically improving processor efficiency while maintaining operational flexibility through configurable rules and algorithms.
Data Source
AI summary
A system, method, and computer-readable medium for resolving an identity of an entity, comprising parsing entity identifier information associated with the entity to provide an entity identifier element, the entity identifier information comprising temporal information; classifying the entity identifier element to provide a classified entity identifier element; normalizing the classified entity identifier element to provide a classified and normalized entity identifier element; and, associating the classified and normalized entity identifier element and the temporal information with the entity to resolve the identity of the entity at a particular point in time.