Item-Level Transaction Authentication for Fraud-Resistant Account Access
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Solution Overview
Problem
Conventional authentication systems fail to generate transaction-based questions based on specific details of a transaction, such as specific items purchased and their prices, making them vulnerable to fraudulent access by malicious actors.
Innovation Solution
Implementing transaction-based authentication using item-level purchase data, including specific items and prices, to generate questions that an authorized user is likely to remember and a malicious actor is unlikely to guess, thereby enhancing authentication accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional authentication systems use general transaction data, then the authentication process is simple to implement, but the system becomes vulnerable to fraudulent access by malicious actors
Solution Approach 1:
The patent segments transaction data into multiple hierarchical levels: account-level data, transaction-level data, and item-level data. This segmentation allows the system to progressively increase authentication depth by drilling down from general to specific data granularities, thereby improving security without requiring complete system redesign.
Solution Approach 2:
The patent introduces a new dimension of authentication by adding item-level granularity to traditional transaction-based authentication. This dimensional expansion transforms the authentication space from transaction-level verification to item-level verification, creating deeper security layers that malicious actors cannot easily breach.
2Reliability
If item-level purchase data is used to generate authentication questions, then authentication accuracy improves, but the difficulty of answering questions increases for legitimate users
Solution Approach 1:
The system performs preliminary actions by pre-processing transaction data into structured item-level records during normal account operations. This preliminary organization of data ensures that when authentication is needed, the system can quickly retrieve and present relevant item-level questions without burdening users with complex real-time data processing.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors user responses to item-level authentication questions and adjusts the authentication challenge accordingly. This feedback loop allows the system to learn from user interactions and optimize the balance between security and ease of use over time.
Data Source
AI summary
Aspects described herein may provide techniques for authenticating a user using transaction-based authentication questions that are generated based on item-level purchase data. The item-level purchase data of a transaction may include specific details of a transaction such as identification of each item purchased and corresponding prices paid for each item. Transaction-based authentication questions for a financial account may be generated based on the item-level purchase data that an authorized user of the financial account is likely to remember and that a malicious actor is unlikely to correctly guess. As a result, the authorized user of the account is likely to be correctly authenticated while the malicious actor is likely to answer the transaction-based authentication question incorrectly. Authentication can therefore effectively block malicious actors without overly burdening actual authorized users during the authentication process.