Authentication Server Identity Verification via Bank Data Analysis
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Solution Overview
Problem
Current methods for verifying user identity on third-party platforms, such as social media or e-commerce sites, often rely solely on email or mobile number verification, which is inadequate for ensuring user authenticity and can lead to fake accounts and identity impersonation, failing to scale for detailed verification across all accounts.
Innovation Solution
A method and system that processes user verification data and content data at an authentication server, comparing it against user profiles to generate identity and content data notification messages, ensuring only verified users can interact, using bank account data and historical transaction data for analysis, and obtaining user consent through secure channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If email or mobile number verification is used, then user account setup is simple and fast, but user identity authenticity cannot be confirmed and fake accounts are created
Solution Approach 1:
The system performs preliminary verification of user identity by checking verification data (such as bank account information) against stored user profiles before granting full access to the platform. This advance verification ensures that only authenticated users can create accounts, preventing fake accounts while maintaining a streamlined setup process.
Solution Approach 2:
The system introduces an intermediary verification mechanism that acts as a mediator between simple email/mobile verification and full identity confirmation. The verification data check serves as an intermediate step that provides sufficient authentication without requiring complex manual verification processes, thus maintaining both speed and reliability.
2Reliability
If manual verification process is performed on subset of user accounts, then detailed verification can be conducted, but the process is slow and does not scale well
Solution Approach 1:
The system implements automated self-service verification where the verification process is performed automatically by comparing user-provided verification data against stored profiles without requiring manual intervention. This allows detailed verification to be conducted at scale across all user accounts simultaneously, maintaining high accuracy while achieving rapid processing speeds.
Solution Approach 2:
The system replaces the mechanical manual verification process with an automated computational system that programmatically compares verification data against user profiles. This substitution eliminates the speed limitations of manual verification while maintaining or improving verification accuracy through consistent automated comparison across all accounts.
3Reliability
If verification data is checked against user profile, then user identity can be verified accurately, but system complexity increases
Solution Approach 1:
The system uses a universal verification approach where the same verification mechanism (comparing verification data against user profiles) is applied across all user accounts and verification scenarios. This multi-functional system handles different types of verification data (bank accounts, identification numbers) using a single comparative framework, reducing overall system complexity while maintaining high verification confidence.
Data Source
AI summary
A method of processing, at an authentication server, content data provided during an interaction between a user and a third party platform, the method comprising: receiving, at the authentication server, user verification data and content data from the third party platform; verifying the identity of the user by comparing the received user verification data against verification data stored in a user profile in order to generate a user identity status; analysing received content data against pre-existing user data in order to generate a content data notification message; sending, from the authentication server to the third party platform, an authentication message, the authentication message comprising the user identity status and the content data notification message.