Cardless Cash Withdrawal Location Check Against QR Code Fraud
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Solution Overview
Problem
Existing cardless cash withdrawal systems are susceptible to fraud due to the manipulation of QR codes, redirecting transactions to different ATMs and causing financial loss for users.
Innovation Solution
Implementing a location-based verification method that cross-references the user's location with the ATM's designated location, triggering an alert if there is a discrepancy, allowing the user to abort the transaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cardless cash withdrawal using QR code is implemented, then convenience and contactless transaction are improved, but security against fraud is worsened
Solution Approach 1:
The system provides real-time feedback to the user by displaying the ATM location derived from the QR code and comparing it with the user's current location. This feedback loop allows users to verify whether they are at the correct ATM before completing the transaction, enabling them to detect and avoid fraudulent situations where QR codes may be manipulated or misplaced.
Solution Approach 2:
The patent introduces an intermediary verification step between the QR code scanning and the cash dispensing process. The system acts as a mediator by independently determining the ATM location from the QR code data, comparing it with the user's location, and only allowing the transaction to proceed if the locations match. This intermediary check prevents direct execution of potentially fraudulent transactions.
2Reliability
If location verification is added to the transaction process, then security against fraud is improved, but transaction time and process complexity are worsened
Solution Approach 1:
The location verification is performed preliminarily and automatically in the background before the user completes the transaction. The system determines the ATM location from the QR code, compares it with the user's current location, and prepares the verification result in advance. This preliminary action ensures that the security check is completed before the critical transaction moment, minimizing additional time required from the user.
Solution Approach 2:
The system performs the location verification process autonomously without requiring active user participation. The electronic device automatically retrieves location data, compares it with the ATM location, and presents the verification result to the user. This self-service approach minimizes the time burden on users while maintaining security, as the complex verification steps are handled automatically by the system.
3Reliability
If location verification is implemented, then fraud detection capability is improved, but device complexity is worsened
Solution Approach 1:
The patent leverages existing multi-functional components in modern electronic devices to implement location verification without adding significant complexity. The device uses its existing camera to scan the QR code, its existing GPS or location services to determine current location, and its existing processor to compare the two locations. By making these existing components serve the additional function of fraud detection, the system avoids the need for dedicated specialized hardware, thereby limiting the increase in device complexity.
Solution Approach 2:
The location verification process merges multiple functions into a unified workflow: the QR code scanning function, the location determination function, and the fraud detection function are combined into a single integrated process. The system simultaneously processes the QR code data and location data, compares them, and generates a verification result, rather than treating these as separate sequential steps. This merging reduces the overall system complexity by eliminating redundant components and streamlining the verification architecture.
Data Source
AI summary
Electronic devices, systems, and methods described herein prevent fraud during cardless cash withdrawals by employing location-based verification. The method involves obtaining identifying information about another electronic device from an object within the environment of the electronic device, determining the location of the electronic device, and verifying if the location is proximately located with the other electronic device. If the locations do not sufficiently match, a prompt with a fraud warning can be presented on the user interface. The system ensures that the transaction is initiated with the correct device, reducing the risk of fraud due to device manipulation by fraudsters.


