Mobile Payment Terminal Motion Analysis for Fraud Prevention
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Solution Overview
Problem
Contactless payment systems with contactless chips are vulnerable to fraudulent use due to the lack of identity authentication, posing a risk to payment card security.
Innovation Solution
Incorporating a risk assessment module in mobile acquiring devices and a risk prevention and control server in the device server to analyze motion data from sensors like accelerometers and gyroscopes, using Kalman filtering to determine transaction risk and prevent fraudulent use by evaluating motion features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contactless payment is used without identity authentication, then payment convenience is improved, but payment security deteriorates
Solution Approach 1:
The system performs preliminary risk assessment by analyzing motion data captured during the payment transaction before completing the payment authorization. Motion features such as acceleration patterns, shaking detection, and device handling characteristics are evaluated in advance to determine transaction legitimacy, preventing fraudulent payments before they are finalized while maintaining contactless convenience
Solution Approach 2:
The system implements feedback mechanisms where motion sensor data continuously monitors the payment device during transaction processing. The risk assessment module analyzes real-time motion patterns and provides feedback on transaction risk levels, allowing the system to dynamically adjust authorization decisions based on detected anomalies such as unauthorized device movement or suspicious handling patterns
2Reliability
If motion data analysis is added to payment processing, then fraud detection capability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a dedicated risk assessment module as an intermediary component that sits between the payment processing system and the motion sensors. This module specialized in analyzing motion data patterns and translating raw sensor inputs into risk assessments, thereby simplifying the overall system architecture by creating a clear separation of concerns and reducing the complexity burden on the main payment processing system
Solution Approach 2:
The system transforms complex motion data into simplified risk parameters by analyzing specific motion features such as acceleration thresholds, shaking frequency, and device orientation changes. By converting multidimensional sensor data into discrete risk level parameters (low, medium, high risk), the system reduces computational complexity while maintaining effective fraud detection capability
Data Source
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AI summary
The present application discloses a payment information processing method, apparatus, device, and computer readable storage medium. The payment information processing method includes: obtaining motion data of a mobile acquiring device, in response to an acquiring request sent by the mobile acquiring device; determining a motion feature of the mobile acquiring device according to the motion data, under a condition that the mobile acquiring device obtains payment card information; determining a payment information processing result according to the motion feature. According to embodiments of the present application, the motion data of the mobile acquiring device can be used to determine the payment information processing result related to a transaction risk, so that when a merchant uses the mobile acquiring device to initiate a transaction, security of a payment card account of a cardholder can be improved.