Polygon GUI for Fraud Rule Configuration
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Solution Overview
Problem
Small and medium-sized merchants face challenges in managing fraud due to resource constraints, lack of understanding, and the burden of researching and monitoring transactions, leading to increased costs and difficulties in accurately detecting fraudulent activities.
Innovation Solution
A method and system for configuring fraud detection rules using a graphical user interface, where a polygon with multiple edges represents potential outcomes, and an icon's position within the polygon adjusts rules based on distance, allowing for easy adjustment of rule parameters and probabilities, facilitating automatic balancing of fraud management goals without extensive research or manual manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If merchants manually research and monitor transactions to detect fraud, then fraud detection accuracy may improve, but the time and resources required increase significantly
Solution Approach 1:
The system enables merchants to self-configure fraud detection rules through an intuitive graphical interface without requiring external expertise or extensive manual research. The polygon visualization and drag-and-drop functionality allow merchants to independently adjust rule parameters and achieve effective fraud detection on their own.
Solution Approach 2:
The patent introduces an intermediary system that automatically monitors transactions and applies fraud detection rules on behalf of merchants. This intermediary layer handles the complex analysis and monitoring tasks, freeing merchants from direct involvement while maintaining accurate fraud detection.
2Reliability
If merchants implement comprehensive fraud monitoring, then fraud detection capability improves, but operational costs increase
Solution Approach 1:
The system allows merchants to implement fraud monitoring at an appropriate level without over-investing resources. The polygon interface enables selective adjustment of rule parameters to achieve sufficient fraud detection coverage without the need for exhaustive monitoring of all transactions.
Solution Approach 2:
The patent enables dynamic adjustment of fraud detection parameters through the graphical interface. Merchants can modify rule parameters, thresholds, and priorities based on their specific needs and risk tolerance, optimizing the balance between detection capability and operational cost.
3Measurement precision
If complex fraud detection rules are configured manually, then detection precision may improve, but the complexity of configuration increases
Solution Approach 1:
The patent replaces manual, mechanical configuration processes with an automated graphical interface system. The polygon visualization and drag-and-drop functionality substitute complex manual rule-setting with intuitive visual interactions, maintaining precision while reducing configuration complexity.
Solution Approach 2:
The system transforms the traditional linear or hierarchical rule configuration into a two-dimensional polygon interface. This dimensional change allows merchants to visualize and adjust multiple rule parameters simultaneously in space rather than through sequential steps, simplifying the configuration process while maintaining precision.
4Reliability
If merchants adjust multiple rule parameters to balance fraud detection goals, then detection effectiveness improves, but the difficulty of adjustment increases
Solution Approach 1:
The patent combines multiple rule parameters and adjustment functions into a single unified polygon interface. Instead of requiring separate adjustments for each parameter, the system merges them into one visual workspace where merchants can simultaneously control multiple aspects of fraud detection through drag-and-drop interactions.
Solution Approach 2:
The system provides dynamic adjustment capabilities where rule parameters can be modified in real-time through the graphical interface. The polygon visualization allows merchants to see the effects of parameter changes immediately and make iterative adjustments, making the process of balancing multiple detection goals more fluid and easier to manage.
Data Source
AI summary
Provided is a method for configuring at least one rule, e.g., using a graphical user interface. The method may include displaying a graphical user interface including a polygon having at least three edges and an icon at a first position within the polygon. Each edge of the polygon may be associated with a potential outcome of at least one rule. An input to move the icon to a second position within the polygon may be received. The graphical user interface may be displayed with the icon at the second position within the polygon. A distance from the second position of the icon to each edge of the polygon may be determined. The rule(s) may be adjusted based on the distance from the second position of the icon to each edge of the polygon. A system and computer program product are also disclosed.