Fraud Ring Detection System Using Identity Resolution
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Solution Overview
Problem
Conventional methods for detecting fraud rings are ad hoc and incomplete, failing to systematically identify and detect multiple members of fraud rings, allowing remaining members to remain undetected, and are limited in scope, often only uncovering a small number of rings.
Innovation Solution
A system and method that gathers likely fraudsters, links them based on matching identity information, and uses a deterministic approach to identify interconnected groups as fraud rings, employing an events database, identity resolution module, fraud database, and fraud ring database to automate the detection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ad hoc methods are used to examine unpaid accounts, then some fraudulent accounts can be identified, but the detection is incomplete and remaining members of fraud rings remain undetected
Solution Approach 1:
The patent segments the fraud detection process into distinct modules: identity resolution module that assigns person numbers to events, fraud database that stores linked fraudulent people, and fraud ring database that identifies subgroups of connected fraudulent people. This segmentation allows systematic analysis of individual fraud instances while maintaining connections to identify broader fraud rings, resolving the contradiction between detecting individual fraud cases and identifying complete fraud rings.
Solution Approach 2:
The patent introduces an identity resolution module as an intermediary that assigns person numbers to events and links people to fraudulent events. This intermediary component bridges the gap between individual fraud events and the broader fraud ring structure, enabling the system to connect disparate fraud instances and identify interconnected fraud rings that conventional methods miss.
2Ease of operation
If one-by-one discovery processes are used, then individual fraud cases can be investigated, but the process cannot systematically find thousands of fraud rings
Solution Approach 1:
The patent merges individual fraud case investigations with systematic fraud ring detection by combining the fraud database (storing individual fraudulent people) with the fraud ring database (storing subgroups of connected fraudulent people). This merging allows the system to simultaneously maintain detailed individual case information while systematically identifying thousands of fraud rings through automated connection analysis, resolving the contradiction between ease of individual investigation and productivity in detecting numerous fraud rings.
Solution Approach 2:
The system implements self-service through automated algorithms that systematically analyze connections between fraudulent people and automatically identify fraud rings without requiring manual one-by-one investigation. The fraud ring detection algorithm automatically processes the fraud database to identify subgroups of connected fraudulent people, enabling the system to discover thousands of fraud rings independently, thus大幅提高 productivity while maintaining the ability to investigate individual cases when needed.
3Reliability
If conventional approaches examine small samples of accounts, then some fraud can be detected, but the sample size is too small to identify the full scope of fraud rings
Solution Approach 1:
The patent transitions from examining accounts in a single dimension (individual account analysis) to analyzing fraud rings in a new dimension by creating the fraud ring database that stores subgroups of connected fraudulent people. This dimensional change allows the system to maintain reliable detection of individual fraud cases while simultaneously analyzing large quantities of accounts to identify the full scope of fraud rings through connection patterns, resolving the contradiction between detection reliability and sample size.
Data Source
AI summary
The present invention provides, in at least one embodiment, a system, and method for detecting fraud rings. The system gathers a small group of highly likely fraudsters. The system then looks for groups of these likely fraudsters who are interconnected. When the interconnections are strong, these groups are likely to be fraud rings. Once fraud rings are detected, the links can be applied to better prevent fraud and to help in criminal investigations.