Transaction Data Enrichment for Location Privacy and Fraud Prevention
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Solution Overview
Problem
Current fraud prevention systems often decline legitimate transactions due to overly aggressive fraud prevention methods, and they fail to maintain location privacy during online transactions, leading to a chilling effect on online commerce.
Innovation Solution
Implementing a real-time enrichment of raw merchant data from ISO transactions using a data enrichment server that predicts the location of a mobile account holder device, even when in privacy mode, to provide normalized merchant data for fraud analysis, thereby reducing false declines and maintaining location privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If location services are disabled to maintain location privacy, then user privacy is protected, but fraud prevention systems cannot verify user location for legitimate transactions
Solution Approach 1:
The patent introduces a location privacy service as an intermediary that mediates between the fraud prevention system and the user's location data. This service provides location verification capabilities while maintaining user privacy by controlling what location information is disclosed to merchants and third parties, thus resolving the contradiction between fraud prevention needs and location privacy protection
Solution Approach 2:
The patent extracts the location verification function from the traditional fraud prevention system and places it within a dedicated location privacy service. This separation allows the fraud prevention system to rely on verified location data without directly accessing or storing sensitive user location information, thereby maintaining both security and privacy
2Reliability
If fraud prevention methods are overly aggressive to prevent illegitimate transactions, then fraud is reduced, but legitimate transactions are declined causing a chilling effect on online commerce
Solution Approach 1:
The patent implements dynamic fraud prevention rules that adapt based on verified location data and transaction patterns. Rather than applying static aggressive filters, the system dynamically adjusts verification requirements, allowing legitimate transactions to proceed smoothly while maintaining strong prevention against fraudulent activities, thus balancing security with transaction flow
Solution Approach 2:
The patent incorporates feedback loops where location verification results and transaction outcomes are used to continuously refine fraud detection algorithms. This feedback mechanism reduces false positives by learning from actual transaction patterns, thereby maintaining high fraud prevention effectiveness while minimizing declines of legitimate transactions
3Reliability
If user accounts are kept in disabled state and selectively enabled for transactions, then fraud is prevented, but legitimate transactions face delays and additional scrutiny
Solution Approach 1:
The patent performs location verification and account validation in advance before transactions occur. By pre-verifying user location and account status, the system can quickly approve legitimate transactions without delays, while maintaining security through prior validation. This preliminary action eliminates the need for time-consuming scrutiny during actual transactions
Data Source
AI summary
While mobile device location remains, private, user transaction controls are applied to a specific authorization request. The user transaction controls are pre-configured by the user of the mobile account holder device and identified by the enriched merchant data. Location algorithms predict transaction locations used to obtain enriched merchant data responsive to location privacy mode. Responsive to the user transaction controls, a fraud recommendation response is sent to the approval system, in real time with the transaction. The fraud recommendation response prevents a false negative by using an enriched merchant location rather than the raw merchant location.