Identity Manipulation Detection via Score Analysis
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Solution Overview
Problem
Identity theft and fraud are prevalent due to the ease with which personal identity information can be manipulated and misused, leading to significant financial and emotional losses, with existing technologies struggling to detect intentional falsification of identity information effectively.
Innovation Solution
A system and method that leverage the ID Network's data to detect variations in identity information such as social security numbers, dates of birth, and names, calculating an identity manipulation score to identify intentional manipulations and provide attribute descriptions of these manipulations, excluding unintentional changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If personal identity information is easily collected and used, then ease of operation is improved, but security and reliability deteriorate due to increased identity theft and fraud
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and analyzing identity information before fraud occurs. It establishes baseline identity patterns and detects deviations in advance, enabling preventive detection of identity manipulation rather than reactive response after theft occurs.
Solution Approach 2:
The system implements feedback mechanisms by continuously comparing current identity information against established patterns and historical data. When anomalies are detected, the system provides feedback signals that trigger further investigation or alerting, creating a closed-loop security system that adapts to evolving fraud patterns.
2Reliability
If identity information is monitored and analyzed to detect fraud, then reliability is improved, but device complexity and measurement precision requirements increase
Solution Approach 1:
The system segments the complex fraud detection task into distinct analytical modules, each handling specific aspects of identity information (name variations, address changes, SSN patterns, etc.). This modular approach reduces overall system complexity by allowing independent development, testing, and optimization of each detection component.
Solution Approach 2:
The system manages complexity by transforming diverse identity data into standardized parameter formats and using configurable detection thresholds. Instead of hardcoding complex detection logic for every possible fraud scenario, the system uses parameter-based rules that can be adjusted based on specific risk profiles and detection priorities.
3Measurement precision
If systematic analysis of identity variations is performed, then measurement precision is improved for detecting manipulation, but loss of time increases due to thorough investigation requirements
Solution Approach 1:
The system applies partial action by focusing analysis only on the most suspicious identity variations and patterns rather than exhaustively examining all possible data points. It uses risk-based prioritization to investigate only those anomalies that exceed predetermined thresholds, reducing investigation time while maintaining high detection precision for intentional manipulation.
Solution Approach 2:
The system maintains continuous monitoring of identity information without requiring periodic interruptions for comprehensive re-analysis. By performing lightweight continuous checks alongside periodic deep-dive investigations, the system achieves both timely detection and thorough analysis, eliminating the trade-off between speed and precision.
Data Source
AI summary
The present invention provides, in at least one embodiment, a device, system, and method for resolving the identity of at least one person and listing their identity information attributes. The system detects intentional and improper falsifications of the person's personal identity information. The system calculates a manipulation score that indicates the likelihood that the person intentionally and improperly attempted to manipulate their identity information. The manipulation score can be based on the number, type, and systematic nature of the person's variations in their identity information. The system also calculates a collection of identity manipulation attributes that describe explicitly the manner of the improper manipulation, such as the number of Social Security numbers used.