Context-Based QR Code Fraud Detection
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Solution Overview
Problem
Conventional computerized payment processing systems are vulnerable to fraud and misuse, as they do not effectively verify the authenticity of transactions or enforce transaction-specific restrictions, and they lack customization and privacy features for users.
Innovation Solution
The system facilitates the generation of enhanced, context-based QR codes using smart devices, which include encrypted payment information and additional context such as geo-location, time/date, products/services, and merchant/user identities. These QR codes are designed to enhance transaction security and privacy by allowing real-time verification and enforcement of transaction-specific restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional payment processing systems are used, then payment information can be extracted and processed, but the systems are vulnerable to fraud and misuse
Solution Approach 1:
The system performs preliminary verification by embedding context information (location, time, merchant details) into the QR code before the transaction occurs. This pre-verification mechanism allows the system to validate transaction authenticity in advance, preventing fraud before it can execute.
Solution Approach 2:
The QR code acts as an intermediary element that bridges the payer and payment processor. It carries encrypted payment information and context data, allowing verification without directly exposing sensitive payment details, thus reducing fraud vulnerability while maintaining processing capability.
2Productivity
If conventional payment systems process transactions, then payment information is transmitted and settled, but the systems lack transaction-specific restriction enforcement
Solution Approach 1:
The system applies different verification rules and restrictions to different transactions based on their specific context. Each QR code can contain transaction-specific parameters (time limits, location constraints, merchant restrictions), allowing customized enforcement without affecting overall system efficiency.
Solution Approach 2:
The payment system transitions from static processing to dynamic verification. The QR code contains time-sensitive and context-dependent information that changes based on transaction conditions, enabling the system to adaptively enforce restrictions while maintaining processing flow.
3Loss of information
If conventional systems extract payment information from financial instruments, then payment data is obtained, but user privacy is compromised
Solution Approach 1:
The system extracts only the necessary context information (location, time, merchant details) from the transaction environment and embeds it in the QR code, while keeping sensitive payment details encrypted and minimal personal information hidden. This selective extraction protects user privacy while enabling verification.
Solution Approach 2:
Instead of directly transmitting sensitive payment information, the system creates a verified copy through the QR code that contains sufficient validation data (context, encrypted tokens) without exposing actual payment details, thus protecting user privacy while enabling transaction processing.
Data Source
AI summary
Systems, computer-implemented methods, apparatus, and/or computer program products that can facilitate electronic generation of enhanced, transaction-based QR codes for improved fraud detection are provided. In various aspects, a processor can receive a signal from an electronic beacon of a point-of-sale device, wherein the signal includes information associated with a first merchant. In various instances, in response to receiving the signal from the electronic beacon, the processor can identify a quick response (QR) code from a set of quick response codes that corresponds to the first merchant. In various cases, the processor can render the identified QR code on an electronic display that is scannable by the point-of-sale device, wherein scanning the identified QR code causes the point-of-sale device to transmit the identified QR code and a second merchant identifier to a payment processor. In various aspects, the processor can receive a transaction confirmation based on a verification of a transaction completed using the identified QR code from the payment processor, wherein the verification is based on determining that the identified QR code corresponds to the merchant identifier transmitted by the point-of-sale device. In various embodiments, the identified QR code can correspond to other types of verification data (e.g., geo-location stamps, time stamps, product or service identifiers, price identifiers).