Unique Device Identification Using Configuration Data for Tokenized Payments
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Solution Overview
Problem
Existing payment systems and transaction platforms face challenges in providing seamless access to multiple credit options and products, especially across different environments like POS, mobile, and web, while ensuring data security and compliance with regulatory requirements.
Innovation Solution
A multi-product platform (MPP) system that integrates with payment systems, enabling seamless presentation of multiple products during a transaction by using a unique device identification system, tokenization, and machine learning to improve security and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple independent payment systems are used to provide diverse credit options, then product versatility is improved, but system complexity and integration difficulty increase
Solution Approach 1:
The patent implements a universal payment system that can handle multiple types of transactions (credit cards, debit cards, mobile payments, buy now pay later) through a single integrated platform. The system uses a unified payment processing architecture that accommodates different payment methods without requiring separate independent systems, thereby providing versatility while reducing integration complexity.
Solution Approach 2:
The patent introduces an intermediary payment processing layer that acts as a mediator between merchants and various payment methods. This intermediary system standardizes communication protocols and data formats, enabling seamless integration of multiple payment types without requiring direct complex connections between each payment system and the merchant, thus reducing overall system integration difficulty.
2Productivity
If data sharing is enabled across multiple systems to improve transaction capability, then productivity is improved, but data security and privacy compliance become more difficult to maintain
Solution Approach 1:
The patent extracts sensitive payment data from the transmission process and replaces it with tokens or placeholders. The actual credit card numbers and sensitive information are never transmitted across systems; instead, encrypted tokens are used to represent the payment methods. This extraction of sensitive data from the communication flow enables productivity improvement through data sharing while maintaining data security by eliminating the transmission of actual sensitive information.
Solution Approach 2:
The patent creates copies of payment method identifiers (tokens) that can be shared across systems without containing actual sensitive data. These token copies allow systems to reference and process payment information without transferring the original sensitive data, enabling productive data sharing while maintaining security through the use of non-sensitive representations of payment methods.
3Ease of operation
If POS terminal interfaces are enhanced to provide better user experience, then ease of operation is improved, but the system's ability to support multiple credit options decreases
Solution Approach 1:
The patent implements a dynamic POS terminal interface that automatically adapts its presentation based on the customer's selected payment method and the available credit options. The interface dynamically reconfigures to show relevant credit products and payment methods without requiring manual selection or complex user input, thereby maintaining ease of operation while supporting multiple credit options through intelligent automation.
Solution Approach 2:
The patent enables the POS system to automatically detect customer preferences, available credit options, and appropriate payment methods without requiring extensive user interaction. The system self-determines the best presentation of credit options based on pre-configured rules and customer profiles, maintaining simple user interaction while providing access to multiple credit products through automated system intelligence.
Data Source
AI summary
Systems, methods, devices, instructions, and other aspects are provided for unique device identification. In one aspect, a method is providing including receiving, at a server computer, transaction data associated with a client device, wherein the transaction data includes device configuration data, aggregating the device configuration data for the client device received within a threshold time period to generate a unique set of device configuration characteristics, receiving, at the server computer, transaction request data associated with the client device, verifying the client device using the unique set of device configuration characteristics, and facilitating a transaction associated with the transaction request data based on verification of the client device using the unique set of device configuration characteristics.