Identity Management Using Person-to-Person Relationship Data
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Solution Overview
Problem
Current identification systems rely solely on demographic information and fail to utilize person-to-person relationship data, leading to uncertainty when encountering similar identifiers, such as Jon Smith and Jonathan Smith, regarding whether they represent the same or different individuals.
Innovation Solution
An identity management system and method that correlates person-to-person relationship data across sources to determine if similar identifiers refer to the same individual by finding correlations and commonalities in relationship data, which can be used alone or in conjunction with demographic data analysis, producing a binary output or confidence level based on shared relationships with third-party identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If demographic information analysis is used to determine identifier correlation, then the system can identify similarities and differences between identifiers, but the system cannot reliably determine whether similar identifiers represent the same or different individuals
Solution Approach 1:
The patent transitions from analyzing identifiers in a single dimension (demographic information only) to multiple dimensions by incorporating person-to-person relationship data. This dimensional expansion allows the system to correlate identifiers through shared relationships with third parties, thereby resolving the uncertainty of whether similar identifiers represent the same individual.
Solution Approach 2:
The patent introduces third-party identifiers as intermediary elements to bridge the correlation between similar identifiers. By analyzing shared relationships with these third-party intermediaries, the system can indirectly determine whether two similar identifiers represent the same individual, overcoming the limitations of direct demographic comparison.
2Device complexity
If only demographic information is analyzed, then the system maintains simplicity in data processing, but the system fails to utilize available relationship data for more accurate identification
Solution Approach 1:
The patent segments the identification process into distinct analytical components: demographic information analysis and relationship data analysis. This segmentation allows the system to process different types of data through specialized pathways, maintaining processing simplicity while incorporating additional data sources for improved reliability.
Solution Approach 2:
The patent creates a composite identification approach by combining demographic information with relationship data. This composite methodology integrates multiple data types to form a more robust identification system, where the combination of different data sources produces greater reliability than either source alone.
Data Source
AI summary
An identity management method includes comparing person-to-person relationship data of at least two identifiers of individuals to determine if the at least two identifiers have a relationship with a common third party identifier. The person-to-person relationship data is obtained from one or more sources and the at least two identifiers are the same or similar. When it is determined that the at least two identifiers have a relationship with a common third party identifier, the method further includes generating an output indicating that the at least two identifiers actually identify the same individual. The output can alternatively, or further, include a confidence level indicative of the confidence that the at least two identities do indeed identify the same individual. The person-to-person relationship analysis can be combined with other forms of identity matching, e.g., demographics.