Phrase Generation Service for Secure E-commerce Transactions
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Solution Overview
Problem
E-commerce sites face challenges in enhancing user experience and simplifying payment processes, as existing methods often require sharing sensitive payment information, which can be cumbersome and insecure.
Innovation Solution
A phrase-generation service that creates and suggests personalized, alphanumeric phrases for users to associate with their accounts, allowing them to conduct transactions without exposing actual payment instrument details, leveraging a phrase-generation module that analyzes various sources to generate phrases, filters them for interest and memorability, and suggests them based on user-specific keywords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users share actual payment instrument details for transactions, then payment processing can be completed, but security risks increase and user experience deteriorates due to sensitivity of sharing financial information
Solution Approach 1:
The patent introduces an intermediary token (phrase) that mediates between the user's payment instrument and the transaction system. Instead of sharing sensitive payment details directly, users share these tokens which act as secure proxies. The token includes encrypted references to the actual payment instrument, allowing transaction processing while protecting the user's financial information from exposure.
Solution Approach 2:
The patent creates a copy or representation of the payment instrument in the form of a token. This token contains essential transactional capabilities (encrypted account references, routing information) without exposing the actual payment instrument details. Users can share these copied tokens freely, and the system can process transactions through them, eliminating the need to share sensitive original payment information.
2Adaptability or versatility
If e-commerce sites accept many forms of payment to enhance user experience, then payment flexibility improves, but system complexity increases
Solution Approach 1:
The patent implements a universal token system that can represent multiple different payment instruments (credit cards, debit cards, gift cards, bank accounts) through a single standardized interface. The token structure is designed to be agnostic to the underlying payment method, allowing the system to handle diverse payment forms without requiring separate complex processing logic for each type. This multi-functional approach enables payment flexibility while maintaining system simplicity.
3Reliability
If users are required to share sensitive payment information for transactions, then payment verification can be completed, but information security risks increase
Solution Approach 1:
The token serves as an intermediary that enables payment verification without exposing sensitive information. The token contains encrypted references and routing data that allow the system to verify and process payments while keeping the actual payment instrument details hidden. This intermediary layer maintains verification reliability while eliminating security risks associated with sharing sensitive information.
Solution Approach 2:
The patent treats tokens as disposable, single-use or limited-use objects. Each token can be generated, shared, and used for transactions without compromising long-term security. If a token is compromised, it can be invalidated and a new one generated, similar to a disposable security measure. This approach allows verification while minimizing security risks, as the cost of potential compromise is limited to a single token rather than the entire payment instrument.
Data Source
AI summary
Techniques for generating and providing phrases are described herein. These techniques may include analyzing one or more sources to generate a first corpus of phrases, each of the phrases for use as an identifier and/or for association with a user for executing a transaction. Once a first corpus of phrases has been generated, these phrases may be filtered to define a second corpus of phrases. Phrases of this second corpus may then be suggested to one or more users. In some instances, the phrases suggested to a particular user are personalized to the user based on information previously known about the user or based on information provided by the user.