Social Network Data Fraud Risk Assessment
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Solution Overview
Problem
Current fraud prevention systems in online payment transactions face challenges in accurately assessing the risk of first-time purchases, as they lack prior transaction data, leading to higher denial rates and increased costs for merchants, banks, and cardholders.
Innovation Solution
A computer-implemented method and system that utilizes social media data to assess fraud risk by analyzing a cardholder's circle of friends' transaction history, calculating a social risk score, and consolidating it with a personal risk score to determine the authenticity of online transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional fraud risk analysis is used for first-time purchases, then the merchant can process transactions with prior relationship data, but the fraud risk assessment accuracy deteriorates due to lack of transaction history
Solution Approach 1:
The patent introduces social network data as an intermediary information source to bridge the gap when traditional transaction history is unavailable. By accessing and analyzing transaction patterns of a cardholder's social connections, the system compensates for the lack of direct transaction history, enabling accurate fraud risk assessment for first-time purchases without relying solely on traditional methods
Solution Approach 2:
The patent transitions from a single-dimension fraud assessment (cardholder's own transaction history) to a multi-dimensional approach by incorporating social network data. This dimensional expansion allows the system to evaluate fraud risk through multiple perspectives - the cardholder's direct transaction patterns plus the behavioral patterns of their social circle, thereby improving assessment accuracy when direct history is limited
2Reliability
If social media data is integrated into fraud assessment, then fraud detection accuracy improves, but system complexity increases due to additional data sources and processing requirements
Solution Approach 1:
The patent creates a multi-functional fraud assessment system that can operate in multiple modes: traditional fraud assessment using only cardholder data, and enhanced assessment incorporating social network data. The system universally handles both first-time purchases (where social data is crucial) and repeat purchases (where traditional data suffices), allowing flexible deployment without requiring completely separate systems
Solution Approach 2:
The patent performs preliminary actions by pre-establishing connections between payment network participants and social network platforms, and by pre-processing social network data to identify key fraud indicators. This preliminary preparation reduces the complexity burden during actual transaction processing, as the heavy lifting of data collection and initial analysis is completed beforehand
3Productivity
If social network data is accessed for fraud assessment, then transaction approval rates for genuine first-time purchases improve, but data privacy concerns and security risks increase
Solution Approach 1:
The patent extracts and uses only the specific fraud-relevant information from social network data, rather than collecting comprehensive personal information. By selectively extracting transaction patterns and behavioral indicators needed for fraud detection while leaving out unnecessary personal details, the system reduces privacy risks while maintaining fraud detection effectiveness
Solution Approach 2:
The patent implements feedback mechanisms where the fraud assessment system continuously monitors the outcomes of transactions approved or declined based on social network data. This feedback loop allows the system to learn and refine its use of social data, improving transaction approval accuracy for genuine purchases while identifying and reducing privacy risks through iterative optimization
Data Source
AI summary
A computer-implemented method for analyzing potentially fraudulent e-commerce payment transactions utilizing social media data is provided. The method uses a fraud monitoring device in communication with a memory. The method includes receiving a request to assess the fraud risk of an online transaction initiated by a cardholder using a payment card and accessing a social media account associated with the cardholder. The social media account includes a circle of friends, where each friend in the circle of friends is associated with a social media account. The method also includes determining one or more historical transactions associated with at least one friend in the circle of friends, calculating a social risk score for the cardholder based in part on the determined one or more historical transactions, and transmitting a consolidated risk assessment of the online transaction based in part on the social risk score.