Transaction Fraud Analysis Rule Base Segmentation
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Solution Overview
Problem
Current transaction processing systems face challenges in implementing real-time processing for a large number of clients due to the need for customized rule bases, which can be resource-intensive and difficult to manage, especially when each client has unique operating conditions for identifying fraudulent transactions.
Innovation Solution
A system that uses a common or partially common rule base, categorized by performance criteria such as false positive ratio, employing two risk scoring systems to evaluate transactions and dynamically manage the rule base, allowing for efficient real-time processing and fraud identification across multiple transaction types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a customized rule base is implemented for each client to identify fraudulent transactions, then fraud detection accuracy is improved, but system complexity and resource requirements increase significantly
Solution Approach 1:
The patent segments the rule base management into two distinct layers: a common rule base shared across all clients containing general fraud detection rules, and customized rule bases specific to each client containing client-specific rules. This segmentation allows each client to have tailored fraud detection capabilities while sharing the bulk of the rule infrastructure, thereby reducing overall system complexity while maintaining detection accuracy.
Solution Approach 2:
The common rule base serves multiple clients simultaneously, providing universal fraud detection capabilities that apply across different client contexts. This multi-functional approach allows the system to reuse the same set of rules for multiple clients, reducing the total number of rules needed and simplifying maintenance, while still allowing client-specific customization when necessary.
2Reliability
If a customized rule base is created for each client, then fraud detection effectiveness is improved, but management and maintenance difficulty increase
Solution Approach 1:
By dividing the rule base into common and customized segments, the patent simplifies management operations. The common rule base can be updated and maintained centrally, benefiting all clients simultaneously, while customized rules can be managed independently for each client. This segmentation reduces the management burden compared to maintaining entirely separate rule bases for each client.
Solution Approach 2:
The common rule base provides a universal foundation that serves all clients, reducing the overall management workload. Updates to common rules automatically benefit all clients, eliminating the need to replicate maintenance efforts across multiple client-specific rule bases, thereby improving ease of operation while maintaining effectiveness.
3Speed
If real-time transaction processing is implemented for a large number of clients, then processing speed is improved, but resource consumption increases
Solution Approach 1:
The patent merges the rule evaluation processes across multiple clients by implementing a common rule base that serves all clients. This consolidation allows the system to process transactions for multiple clients using a shared set of rules, reducing redundant computations and resource consumption while maintaining real-time processing capabilities.
Solution Approach 2:
The common rule base provides universal fraud detection functionality that can be applied to transactions from multiple clients simultaneously. This multi-functional approach allows the system to serve many clients with a single rule evaluation engine, significantly reducing the computational resources needed compared to maintaining separate processing systems for each client.
4Productivity
If a common rule base is used for multiple clients, then resource efficiency is improved, but customization capability for each client decreases
Solution Approach 1:
The patent segments the rule base into common and customized portions, allowing the system to achieve both resource efficiency and client-specific customization. The common rule base provides efficient shared functionality for all clients, while the customized rule base portion allows each client to have tailored rules specific to their fraud detection needs, thereby maintaining adaptability.
Solution Approach 2:
The system dynamically adjusts the composition of the rule base for each client by combining common rules with client-specific customized rules. This dynamic approach allows the system to optimize resource usage through the common portion while adapting to individual client requirements through the customized portion, achieving both efficiency and versatility.
Data Source
AI summary
A system, apparatus, and method for providing real-time or pseudo real-time processing of transactions for a set of clients using a common or partially common rule base. Each client is assigned to a tier or category with the tier or category defined by specified performance criteria. In some embodiments, the specified performance criteria includes a false positive ratio (FPR). A rule for processing transactions is defined as a combination of an interval of a scoring range of a first risk assessment scoring system and an interval of a scoring range of a second risk assessment scoring system. A proposed rule is tested by determining if its performance falls within a defined range of the performance criteria when applied to data for previous transactions. If application of the rule satisfies the performance criteria, then the rule is accepted as part of the rule base for that tier or category of clients.