Automated Identity-Proofing via Biometric Video and Associate Verification
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Solution Overview
Problem
Current identity-proofing methods in computer systems are inadequate due to vulnerabilities in username and password combinations, SMS OTPs, hardware tokens, and biometrics, leading to security breaches and inefficiencies in user authentication and verification processes.
Innovation Solution
An automated process that verifies user identity through a directory of eligible individuals, collects video or data, and uses a network of associates to confirm identity, deriving and saving biometrics for future authentication, thereby enhancing security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated biometric verification is implemented, then authentication reliability is improved, but device complexity increases
Solution Approach 1:
The automated identity-proofing system divides the authentication process into distinct modules: video data collection, biometric feature extraction, associate verification, and identity confirmation. Each module operates independently and can be developed, tested, and maintained separately, reducing overall system complexity while maintaining high authentication reliability through specialized processing at each stage.
Solution Approach 2:
The system introduces an intermediary biometric verification layer between traditional username/password authentication and system access. This intermediary process uses automated video analysis and associate confirmation to bridge the gap between simple credential checking and high-security biometric authentication, improving reliability without requiring complete system redesign.
2Measurement precision
If manual administrator review is required for identity proofing, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary automated verification of user identity through biometric analysis of video data and confirmation from associates before the identity-proofing process is complete. This preliminary action pre-validates user claims, allowing administrators to review only cases that require human judgment, thereby maintaining high verification accuracy while significantly reducing overall processing time.
Solution Approach 2:
The system implements a feedback loop where automated verification results are continuously refined based on administrator reviews. When administrators review identity proofs, their decisions feed back into the automated system to improve future automated verification accuracy, creating a self-improving system that maintains high precision while progressively reducing the need for manual intervention over time.
3Ease of operation
If traditional username and password authentication is used, then ease of operation is maintained, but reliability deteriorates
Solution Approach 1:
The system merges traditional username/password authentication with automated biometric verification and associate confirmation processes. Users continue to use familiar credentials for initial access, while the system simultaneously performs automated identity-proofing in the background by analyzing video data and seeking associate confirmation, thereby maintaining user convenience while significantly improving security reliability through multiple verification layers.
Data Source
AI summary
A process of confirming an originator of an electronic mail (email) includes receiving a request for verification of the identity of an alleged originator of the email, which may be sent from the actual originator of the email or a recipient of the email. The alleged originator of the email may be determined, e.g., by parsing the email to determine the name of the sender in the email. Verification is obtained from a biometric-enabled client that is associated with the send whether the email was in fact sent by the sender as well as confirmation of the identity of the sender based on a previously stored identity-proofed biometric.