Granted Patent B2

US 12,248,549 · App. 18/461,875 · Granted Mar 11, 2025

Inventor: Scott Edward Streit (Woodbine, MD)

Assignee: Private Identity LLC

G06F21/32G06F2221/2133

Abstract

Claims (71)

1. A method of authorizing access to access-controlled environments, the method comprising:

receiving, by a computing device, passive authentication information indicative of an identity of an entity;

comparing, by the computing device, the passive authentication information to a stored identifier associated with the entity;

receiving, by the computing device, active authentication information indicative of the identity of the entity;

comparing, by the computing device, the active authentication information to the stored identifier;

generating a liveness evaluation of the entity, including acts of:

validating submission of the passive and active authentication information, wherein the liveness evaluation includes authentication information that validates capture of the passive and active authentication information by a live entity;

processing the authentication information that validates the capture of the passive and active authentication information using a plurality of neural networks including at least a first neural network configured to process passive authentication information and a second neural network configured to process active authentication information;

determining a probability, generated in response to the first and second neural networks processing the passive and active authentication information, that the passive authentication information and the active authentication information are actually obtained from the entity meets a threshold for validation;

receiving, by the computing device, a request from the entity to execute an access-controlled function; and

granting, by the computing device, the request from the entity responsive to determining that an identity probability satisfies a first identity probability threshold associated with the access-controlled function based on, at least in part, the passive and active authentication information and the liveness evaluation.

2. The method of claim 1 , wherein the passive authentication information includes behavior authentication information.

3. The method of claim 2 , wherein receiving the passive authentication information is performed without prompting the entity to provide the behavior authentication information.

4. The method of claim 1 , wherein the first neural network configured to process passive authentication information and the second neural network configured to process active authentication information are configured as a consolidated neural network.

5. The method of claim 1 , wherein an entity profile includes at least one encrypted biometric value corresponding to the entity, the at least one encrypted biometric value being encrypted by a first encryption algorithm.

6. The method of claim 5 , wherein comparing active authentication information includes:

encrypting at least one biometric input using the first encryption algorithm to generate at least one encrypted biometric input; and

comparing the at least one encrypted biometric input to the at least one encrypted biometric value.

7. The method of claim 1 , further comprising:

receiving, by the computing device, a second request from the entity to execute a second access-controlled function;

prompting, by the computing device, the entity to provide at least one biometric input responsive to determining that the identity probability does not satisfy a second identity probability threshold associated with the second access-controlled function;

receiving, by the computing device, the at least one biometric input;

comparing, by the computing device, the at least one biometric input to an entity profile;

calculating, by the computing device, a second entity identity probability based on the comparison of the at least one biometric input to the entity profile;

adjusting, by the computing device, the identity probability based on the second identity probability; and

granting, by the computing device, the second request from the entity responsive to determining that the identity probability satisfies the second identity probability threshold.

8. The method of claim 7 , further comprising:

receiving, by the computing device, a third request from the entity to execute a third access-controlled function;

determining, by the computing device, that the identity probability does not satisfy a third identity probability threshold associated with the third access-controlled function;

receiving, by the computing device, a liveness indicator from the entity;

calculating, by the computing device, a third entity identity probability based on the liveness indicator;

adjusting, by the computing device, the identity probability based on the third entity identity probability; and

granting, by the computing device, the third request from the entity responsive to determining that the identity probability satisfies the third identity probability threshold.

9. The method of claim 8 , wherein generating the liveness evaluation includes an act of determining a probability that the entity is a live human entity.

10. The method of claim 9 , wherein generating the liveness evaluation includes at least evaluation of one of an audio recording of the entity speaking a phrase generated by the computing device or a video of the entity performing a gesture generated by the computing device.

11. The method of claim 9 , wherein receiving the liveness indicator includes receiving, passively by the computing device, one or more signals indicative of one or more vital signs of the entity.

12. A system of authorizing access to access-controlled environments, the system comprising:

at least one processor operatively connected to a memory, the at least one processor configured to:

receive passive authentication information indicative of an identity of an entity;

compare the passive authentication information to a stored identifier associated with the entity;

receive active authentication information indicative of the identity of the entity;

compare the active authentication information to the stored entity identifier associated with the entity;

generate a liveness evaluation of the entity and validate submission of the passive and active authentication information, wherein the liveness evaluation includes authentication information that validates capture of the passive and active authentication information by a live entity, wherein generation of the liveness evaluation includes operations executed by the at least one processor to process the authentication information that validates the capture of the passive and active authentication information using a plurality of neural networks including at least a first neural network configured to process passive authentication information and a second neural network configured to process active authentication information;

determine a probability in response to the first and second neural networks processing the passive and active authentication information, that the passive authentication information and the active authentication information are actually obtained from the entity meets a threshold for validation;

receive a request from the entity to execute an access-controlled function; and

grant the request from the entity responsive to a determination that an identity probability satisfies a first identity probability threshold associated with the access-controlled function based on, at least in part, the active and passive authentication information and the liveness evaluation.

13. The system of claim 12 , wherein the passive authentication information includes behavior authentication information.

14. The system of claim 12 , wherein receiving the behavior authentication information is performed without prompting the entity to provide the behavior authentication information.

15. The system of claim 12 , wherein the first neural network configured to process passive authentication information and the second neural network configured to process active authentication information are configured as a consolidated neural network.

16. The system of claim 12 , wherein the at least one processor is configured to store an entity profile including an encrypted biometric value corresponding to the entity, the encrypted biometric value being encrypted by a first encryption algorithm.

17. The system of claim 16 , wherein the at least one processor is further configured to:

encrypt at least one biometric input using the first encryption algorithm to generate at least one encrypted biometric input; and

compare the at least one encrypted biometric input to the encrypted biometric value.

18. The system of claim 12 , wherein the at least one processor is further configured to:

receive a second request from the entity to execute a second access-controlled function;

prompt the entity to provide at least one biometric input responsive to determining that the identity probability does not satisfy a second identity probability threshold associated with the second access-controlled function;

receive the at least one biometric input from the entity;

compare the at least one biometric input to a entity profile;

calculate a second entity identity probability based on the comparison of the at least one biometric input to the entity profile;

adjust the identity probability based on the second entity identity probability; and

grant the second request from the entity responsive to a determination that the identity probability satisfies the second identity probability threshold.

19. The system of claim 18 , wherein the at least one processor is further configured to:

receive a third request from the entity to execute a third access-controlled function;

determine that the identity probability does not satisfy a third identity probability threshold associated with the third access-controlled function;

receive a liveness indicator from the entity;

calculate a third entity identity probability based on the liveness indicator;

adjust the identity probability based on the third entity identity probability; and

grant the third request from the entity responsive to determining that the identity probability satisfies the third identity probability threshold.

20. The system of claim 19 wherein the at least one processor is further configured to: determine a probability that the entity is a live human entity based on, at least in part, generation of the liveness evaluation.

21. The system of claim 20 , wherein generation of the liveness evaluation includes at least evaluation of one of an audio recording of the entity speaking a phrase generated by the at least one processor or a video of the entity performing a gesture generated by the at least one processor.

22. The system of claim 20 , wherein the at least one processor is further configured to: receive passively one or more signals indicative of one or more vital signs of the entity.

Assignments (3)

Continuity (3)

References Cited (272)