Transaction Visualization Tool for Fraud Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional fraud detection systems struggle to track transactions to their final destination and provide comprehensive information for determining fraudulent transactions, allowing fraudulent entities to disguise illegitimate transactions through legitimate merchants or webservers.
Innovation Solution
A software solution that uses a graphical user interface to visually represent transactions in an interconnected nodal data structure, where each node represents a user or device, and graphical components indicate transactions, enabling users to filter and track transactions by time, type, and entity, identifying fraudulent or money-laundering activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional fraud detection systems track transactions using traditional methods, then they can identify some fraudulent transactions, but they cannot track the full route of transactions to final destinations, allowing fraudulent entities to disguise transactions through legitimate intermediaries
Solution Approach 1:
The patent transforms transaction data from traditional tabular formats into a spatial graph visualization where nodes represent entities and edges represent transactions. This dimensional transformation allows users to perceive transaction routes and relationships that are invisible in conventional flat data structures, enabling tracking of the complete transaction path from origin to final destination through visual navigation of the graph space.
Solution Approach 2:
The graph visualization system serves multiple functions simultaneously: it displays transaction routes, identifies fraudulent entities, reveals money laundering patterns, and provides drill-down capabilities for detailed analysis. A single visual interface consolidates what would otherwise require multiple separate reporting tools, allowing comprehensive transaction monitoring in one unified view.
2Ease of operation
If conventional systems provide fraud detection notifications, then users receive alerts about possible fraudulent transactions, but the user interface only provides a list of transactions without the detailed information needed to determine fraudulent status
Solution Approach 1:
The visualization system implements nested drill-down capability where users can click on nodes to reveal progressively more detailed information about transactions and entities. This nested structure allows the interface to remain simple at the overview level while providing access to comprehensive detailed information on demand, eliminating the need to display all details upfront while maintaining ease of access.
3Reliability
If fraud detection systems monitor all transactions, then they can identify fraudulent activities, but the complexity of analyzing transaction data increases significantly
Solution Approach 1:
The system uses color coding to visually encode different entity types, transaction types, and risk levels in the graph visualization. Fraudulent entities can be quickly identified by their distinctive color markers, and users can filter or highlight specific categories of transactions. This visual encoding reduces the cognitive load of analyzing complex transaction data by transforming abstract data attributes into intuitive visual cues.
Data Source
AI summary
Disclosed herein are methods and systems of visually representing and tracking transactions on a graphical user interface to identify fraudulent or money-laundering entities. A server may receive data corresponding to a plurality of transactions for display on the graphical user interface as a set of graphical nodes linked by a set of graphical components. When the server receives a selection of a graphical node from a user, the server may display on the graphical interface a first subset of graphical nodes directly linked by a first subset of graphical components to the selected graphical node, a visual attribute of each of the first subset of graphical components directly linked to the selected graphical node, and a second subset of graphical nodes indirectly linked by a second subset of graphical components having at least one degree of separation from the selected graphical node.