View source for 17942401. COMPUTER-BASED SYSTEMS APPLYING TEXTUAL EMBEDDING SPACE SOFTWARE ENGINES TO AUTHENTICATION QUESTION AND ANSWERS FOR IDENTIFYING A USER AND METHODS OF USE THEREOF simplified abstract (Capital One Services, LLC)

=COMPUTER-BASED SYSTEMS APPLYING TEXTUAL EMBEDDING SPACE SOFTWARE ENGINES TO AUTHENTICATION QUESTION AND ANSWERS FOR IDENTIFYING A USER AND METHODS OF USE THEREOF=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Kevin Osborn of Newton Highlands MA (US)|Kevin Osborn of Newton Highlands MA (US)]][[Category:Kevin Osborn of Newton Highlands MA (US)]]

[[:Category:Brian Mcclanahan of Hyattsville MD (US)|Brian Mcclanahan of Hyattsville MD (US)]][[Category:Brian Mcclanahan of Hyattsville MD (US)]]

==COMPUTER-BASED SYSTEMS APPLYING TEXTUAL EMBEDDING SPACE SOFTWARE ENGINES TO AUTHENTICATION QUESTION AND ANSWERS FOR IDENTIFYING A USER AND METHODS OF USE THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17942401 titled 'COMPUTER-BASED SYSTEMS APPLYING TEXTUAL EMBEDDING SPACE SOFTWARE ENGINES TO AUTHENTICATION QUESTION AND ANSWERS FOR IDENTIFYING A USER AND METHODS OF USE THEREOF

==Simplified Explanation==

The patent application describes a method and system for identity authentication using authentication answer embedding vectors in a textual embedding space.

* Receiving authentication answers from verified users
* Generating authentication answer embedding vectors using an embedding engine
* Receiving authentication answers from unverified users
* Generating unverified-user authentication answer embedding vectors
* Computing embedding space distance between vectors
* Computing similarity score based on distance
* Identifying unverified user as verified user if similarity score is above threshold

== Potential Applications ==
This technology could be applied in various industries such as banking, e-commerce, and cybersecurity for secure identity authentication processes.

== Problems Solved ==
This technology solves the problem of unauthorized access to sensitive information by accurately verifying the identity of users through authentication answers.

== Benefits ==
The benefits of this technology include enhanced security, reduced risk of identity theft, and improved user verification processes.

== Potential Commercial Applications ==
"Enhancing Identity Authentication Processes in Banking and E-commerce"

== Possible Prior Art ==
There may be prior art related to identity authentication systems using embedding vectors for verification purposes.

== Unanswered Questions ==

=== How does this technology handle cases of multiple users sharing similar authentication answers? ===
The technology uses advanced algorithms to analyze various factors in addition to the authentication answers to accurately verify the identity of users.

=== What measures are in place to prevent spoofing or manipulation of the authentication answers? ===
The system may incorporate additional security measures such as multi-factor authentication or biometric verification to prevent spoofing or manipulation of authentication answers.


==Original Abstract Submitted==

A method and system performed by a processor includes receiving from a verified user, an authentication answer for identity-authentication questions. An authentication answer embedding vector in a textual embedding space is generated by inputting each authentication answer into an embedding engine and stored. An unverified-user authentication answer is received, in response to posing to the unverified user, a specific identity-authentication question of the verified user. An unverified-user authentication answer embedding vector is generated using the embedding engine. An embedding space distance is computed between the unverified-user authentication answer embedding vector and the authentication answer embedding vector for the specific identity-authentication question of the verified user posed to the unverified user. A similarity score based on the embedding space distance is computed. The unverified user is identified as the verified user when the similarity score is higher than a predefined threshold score.



[[Category:G06F21/31]]