IP Library Granted Patent US 10,867,021
Granted Patent B1
US 10,867,021 · App. 16/549,619 · Granted Dec 15, 2020

Systems and methods for continuous biometric authentication

Inventors: John Shelton (San Antonio, TX); Michael Wayne Lester (Fair Oaks Ranch, TX); Debra Randall Casillas (Helotes, TX); Sudarshan Rangarajan (San Antonio, TX); Maland Keith Mortensen (San Antonio, TX)
Assignee: United Services Automobile Association (USAA)
G06F21/32G10L17/24H04L63/0861H04L63/105
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Quick Facts
Patent No.
US 10,867,021
App. No.
16/549,619
Granted
Dec 15, 2020
Kind
B1
Abstract

Methods and systems for authenticating a user are described. In some embodiments, a series of voice interactions are received from a user during a voiceline session. Each of the voice interactions in the series of voice interaction may be analyzed as each of the voice interactions are received. A confidence level in a verification of an identity of the user may be determined based on the analysis of each of the voice interactions. An access level for the user may be automatically updated based on the confidence level of the verification of the identity of the user after each of the voice interactions is received.

Claims (50)

1. A computer-implemented method of authenticating a user interacting with an interactive voice response system, comprising:

receiving biometric information of the user, the received biometric information comprising a spoken request from the user to perform a first activity from among a plurality of activities;

generating a voice sample of the user based on the spoken request;

verifying an identity of the user based on the received biometric information and the voice sample of the user, wherein said verifying the identity of the user comprises:

determining that the identity of the user was previously compromised, and

responsive to the determination that the identity of the user was previously compromised, modifying a value of a confidence metric associated with the verification relative to a value of the confidence metric prior to the verification, modifying an access level required by the user for the first activity, and maintaining an access level required by the user for a second activity from among the plurality of activities;

determining an access level of the user based on the modified confidence metric; and

performing the first activity when the access level based on the modified confidence metric of the user meets or exceeds the modified access level required by the user for the first activity.

2. The method of claim 1 , wherein the voice sample of the user is generated further based on spoken information different than the spoken request, and wherein the spoken information that is different than the spoken request comprises a spoken identifier of an account associated with the user.

3. The method of claim 1 , wherein said verifying the identity of the user comprises performing a statistical analysis of the voice sample of the user.

4. The method of claim 1 , wherein the confidence metric corresponds to an averaging of interactions with the interactive voice response system.

5. The method of claim 1 , wherein the received biometric information further comprises at least one non-voice biometric factor.

6. The method of claim 5 , wherein the at least one non-voice biometric factor comprises information regarding an eye movement of the user.

7. The method of claim 6 , further comprising:

prompting the user to look at a display element presented on a display device associated with the user, and

determining the eye movement of the user in response to the prompt of the user to look at the display element.

8. One or more non-transitory computer-readable media including one or more sequences of instructions which, when executed by one or more processors, causes:

receiving biometric information of a user, the received biometric information comprising a spoken request from the user to perform a first activity from among a plurality of activities;

generating a voice sample of the user based on the spoken request;

verifying an identity of the user based on the received biometric information and the voice sample of the user, wherein said verifying the identity of the user comprises:

determining that the identity of the user was previously compromised, and

responsive to the determination that the identity of the user was previously compromised, modifying a value of a confidence metric associated with said verifying relative to a value of the confidence metric prior to said verifying, modifying an access level required by the user for the first activity, and maintaining access level required by the user for a second activity from among the plurality of activities;

determining an access level of the user based on the modified confidence metric; and

performing the first activity when the access level based on the modified confidence metric of the user meets or exceeds the modified access level required by the user for the first activity.

9. The one or more non-transitory computer-readable media of claim 8 , wherein the voice sample of the user is generated further based on spoken information different than the spoken request, and wherein the spoken information that is different than the spoken request comprises a spoken identifier of an account associated with the user.

10. The one or more non-transitory computer-readable media of claim 8 , wherein said verifying the identity of the user comprises performing a statistical analysis of the voice sample of the user.

11. The one or more non-transitory computer-readable media of claim 8 , wherein the confidence metric corresponds to an averaging of interactions with an interactive voice response system.

12. The one or more non-transitory computer-readable media of claim 8 , wherein the received biometric information further comprises at least one non-voice biometric factor.

13. The one or more non-transitory computer-readable media of claim 12 , wherein the at least one non-voice biometric factor comprises information regarding an eye movement of the user.

14. The one or more non-transitory computer-readable media of claim 13 , further comprising:

prompting the user to look at a display element presented on a display device associated with the user, and

determining the eye movement of the user in response to the prompt of the user to look at the display element.

15. A system comprising:

one or more processors;

one or more non-transitory computer-readable media including one or more sequences of instructions which, when executed by the one or more processors, causes:

receiving biometric information of a user, the received biometric information comprising a spoken request from the user to perform a first activity from among a plurality of activities;

generating a voice sample of the user based on the spoken request;

verifying an identity of the user based on the received biometric information and the voice sample of the user, wherein said verifying the identity of the user comprises:

determining that the identity of the user was previously compromised, and

responsive to the determination that the identity of the user was previously compromised, modifying a value of a confidence metric associated with said verifying relative to a value of the confidence metric prior to said verifying, modifying an access level required by the user for the first activity, and maintaining an access level required by the user for a second activity from among the plurality of activities;

determining an access level of the user based on the modified confidence metric; and

performing the first activity when the access level based on the modified confidence metric of the user meets or exceeds the modified access level required by the user for the first activity.

16. The system of claim 15 , wherein the voice sample of the user is generated further based on spoken information different than the spoken request, and wherein the spoken information that is different than the spoken request comprises a spoken identifier of an account associated with the user.

17. The system of claim 15 , wherein said verifying the identity of the user comprises performing a statistical analysis of the voice sample of the user.

18. The system of claim 15 , wherein the confidence metric corresponds to an averaging of interactions with an interactive voice response system.

19. The system of claim 15 , wherein the received biometric information further comprises at least one non-voice biometric factor.

20. The system of claim 19 , wherein the at least one non-voice biometric factor comprises information regarding an eye movement of the user.

21. The system of claim 20 , further comprising:

prompting the user to look at a display element presented on a display device associated with the user, and

determining the eye movement of the user in response to the prompt of the user to look at the display element.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 26, 2019
From: SHELTON, JOHN; LESTER, MICHAEL WAYNE; CASILLAS, DEBRA RANDALL; RANGARAJAN, SUDARSHAN; MORTENSEN, MALAND KEITH
To: UNITED SERVICES AUTOMOBILE ASSOCIATION (USAA)
Reel/Frame 050168/0359 →
Continuity (3)
Continuation 15993835 · May 31, 2018
Continuation 14489206 · Sep 17, 2014
Provisional Application 61911773 · Dec 4, 2013
Cited By (13)
US 12,206,763 US 12,212,959 US 12,284,512 US 12,335,399 US 12,341,790 US 12,388,817 US 12,395,353 US 12,425,230 US 12,438,731 US 12,443,700 US 12,445,305 US 12,499,201 US 12,538,123