Telecommunications Server Risk Assessment for E-Commerce Fraud
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Solution Overview
Problem
Current systems lack effective methods to identify irregular electronic commerce transactions, particularly in card-not-present scenarios, which can lead to fraud, and do not adequately utilize telecommunications network data to assess risk levels for processing fees.
Innovation Solution
A telecommunications server analyzes user data, including location and payment history, to assign risk levels to electronic commerce transactions, which are then used by transaction processors to influence processing fees, thereby reducing fraud by verifying identity and detecting deviations in communication patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional transaction processing systems are used without telecommunications network data integration, then system complexity remains low, but fraud detection capability and reliability are insufficient
Solution Approach 1:
The patent merges the telecommunications network data system with the electronic commerce transaction processing system. The server queries the telecommunications network for user data (location, payment history, communication patterns) and integrates this with transaction data to perform comprehensive risk assessment. This combination enables enhanced fraud detection by correlating multiple data sources without requiring completely separate systems.
Solution Approach 2:
The server performs multiple functions: processing electronic commerce transactions, querying telecommunications network data, analyzing user behavior patterns, assigning risk levels, and determining processing fees. This multi-functional approach consolidates what could be separate specialized systems into a single unified platform, improving reliability while managing complexity through functional integration.
2Measurement precision
If comprehensive user data analysis is performed to assign accurate risk levels, then fraud detection accuracy improves, but data processing time and system complexity increase
Solution Approach 1:
The system performs preliminary data collection and analysis by maintaining user profiles with historical communication data, location information, and payment patterns in the telecommunications network. When a transaction occurs, the server queries this pre-organized data rather than collecting and analyzing raw data in real-time, significantly reducing processing time while maintaining accurate risk assessment.
Solution Approach 2:
The server analyzes multiple parameters including location data, payment history, communication patterns, and device information to assign risk levels. By changing and evaluating multiple parameters simultaneously rather than relying on single-factor assessment, the system achieves higher precision in risk level assignment while using automated algorithms to keep processing time acceptable.
3Reliability
If risk-based processing fees are implemented, then fraud prevention effectiveness increases, but transaction cost and user burden increase
Solution Approach 1:
The server assigns different risk levels (first, second, third levels) to different transactions based on specific user behavior patterns and transaction characteristics. Processing fees are adjusted locally for each transaction based on its assigned risk level, rather than applying a uniform fee structure. This allows the system to charge higher fees only for suspicious transactions while keeping fees low or zero for legitimate transactions, maintaining fraud prevention effectiveness while minimizing overall cost burden.
Data Source
AI summary
Systems, methods, and computer readable media for identifying irregular electronic commerce transactions are provided. A server is configured to receive a request for a risk level associated with electronic commerce transactions. The sever accesses a communications account associated with a user who initiated the electronic commerce transaction. The user may initiate the electronic commerce transaction on a wireless device. The server accesses the communication patterns, payment patterns, and voice patterns of the communications account for the wireless device. If changes in the communication, payment, or voice patterns of wireless device are detected, the server assigns a high or medium risk level to the electronic commerce transaction. If the server is unable to identify the pattern change, the assigned risk level of the electronic commerce transaction is low. The assigned risk levels are received by a transaction processor and may influence a rate charged for processing the electronic commerce transaction.