Identification Document Verification for Spoof-Resistant MFA
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multi-factor authentication (MFA) techniques are vulnerable to fraudsters spoofing user interactions, rendering one-time passwords inadequate for securing authorized user accounts and private data.
Innovation Solution
Implementing enhanced MFA steps that leverage historical user interactions to predict and verify the possession of entity-issued identification documents, such as membership cards, by capturing and analyzing images of these documents using computer vision models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional authentication methods like usernames and passwords are used, then ease of operation is maintained, but security reliability deteriorates due to vulnerability to fraudster spoofing
Solution Approach 1:
The system performs preliminary analysis of user interaction history and entity issuance data before authentication to predict which identification document the user likely possesses. This pre-computation enables the system to select an authentication challenge that is both secure and contextually appropriate, resolving the contradiction by preparing security measures in advance without adding operational burden during authentication.
Solution Approach 2:
The authentication method dynamically adapts the challenge based on predicted user behavior and possession likelihood. Instead of using static authentication challenges, the system adjusts which identification document to verify based on real-time analysis of user patterns, making the authentication process both more secure and contextually relevant to the user's actual possessions.
2Reliability
If one-time passwords are used for MFA, then security is improved compared to traditional authentication, but reliability deteriorates due to fraudster ability to spoof OTP requests
Solution Approach 1:
The system introduces an intermediary verification step using entity-issued identification documents that serve as a mediator between the user and the authentication system. This intermediary element is difficult for fraudsters to spoof because it requires physical possession of specific documents that the system predicts the user actually has, adding a layer of security that bridges the gap between OTP convenience and robust verification.
Solution Approach 2:
The system changes the authentication parameter from a digitally transmitted OTP to a physically possessed identification document. This parameter change transforms the authentication challenge from something that can be intercepted or spoofed in transit to something that must be physically present, fundamentally altering the attack surface and reducing spoofing vulnerability.
3Reliability
If the system requires users to capture images of predicted identification documents, then security reliability is improved, but device complexity increases due to image capture and verification requirements
Solution Approach 1:
The system leverages the user's existing mobile device camera and image capture capabilities to perform the verification. Instead of requiring specialized hardware or complex verification systems, the authentication process uses the user's own device to capture and submit the identification document image, simplifying the overall system architecture while maintaining high security through the predicted document selection.
4Reliability
If the system analyzes historical user interactions to predict identification document possession, then security is enhanced by reducing fraudster access, but loss of time increases due to data analysis requirements
Solution Approach 1:
The system performs the computationally intensive analysis of user interaction history and entity issuance data in advance, before the authentication moment arrives. By pre-computing the prediction of which identification document the user likely possesses, the system eliminates time-consuming analysis during the actual authentication process, resolving the contradiction between thorough security analysis and fast authentication execution.
Data Source
AI summary
Systems and methods for improvements to multifactor authentication (MFA) techniques are described herein. The improved and enhanced MFA techniques can leverage user interaction data to predict an entity-issued user-specific identification document that an authorized user of an authorized user account is most likely to carry on their person. Upon a request to access an authorized user account being received, the improved and enhanced MFA techniques can request that the user capture, in real-time, an image depicting the predicted identification document. Using additional artificial intelligence, a determination may be made as to whether the image depicts a real instance of the entity-issued user-specific identification document. This determination may result in access to the authorized user account being provided or denied.