MACHINE LEARNING ASSISTED IDENTIFICATION BASED ON LEARNED USER ATTRIBUTES

1 . A system for user identification, the system comprising:

at least one processor; and

memory storing instructions executable by the at least one processor, the instructions when executed cause the system to:

obtain authentication information for a user, the authentication information including a first authentication factor;

determine one or more attributes of the user based on output signals from one or more sensors;

train, using the obtained authentication information and the determined one or more attributes of the user, an identification model of a machine learning system, the identification model configured to identify the user; and

use the trained identification model to identify the user based on the determined one or more attributes of the user.

2 . The system of claim 1 , wherein the instructions when executed cause the system to:

obtain access control information for the user from an access control system, the access control information indicating whether access was granted when using the authentication information; and

update the trained model based on the access control information indicating whether access was granted.

3 . The system of claim 1 , wherein the one or more attributes of the user comprise one or more of biometric or behavioral characteristics of the user.

4 . The system of claim 1 , wherein the instructions when executed cause the system to:

obtain access control information for the user from an access control system, the access control information indicating whether access was granted based on the authentication information, and wherein

training the identification model is further based on the access control information.

5 . The system of claim 4 , wherein the instructions when executed cause the system to:

responsive to the access control information indicating that the access is denied, filter the authentication information for the user and attribute of the user from data used to train the identification model.

6 . The system of claim 1 , wherein the instructions when executed cause the system to:

determine additional authentication factors for authenticating the user based on the identification by the identification model, the additional authentication factors being based on the determined one or more attributes of the user.

7 . The system of claim 6 , wherein the instructions when executed cause the system to:

build an authentication profile for the user, the authentication profile comprising the first authentication factor and the additional authentication factors.

8 . The system of claim 7 , wherein the instructions when executed cause the system to:

dynamically update the authentication profile based on new determined attributes of the user over time.

9 . A system for user identification, the system comprising:

at least one processor; and

memory storing instructions executable by the at least one processor, the instructions when executed cause the system to:

obtain authentication information for a user;

obtain access control information for the user from an access control system, the access control information indicating whether access was granted based on the authentication information;

responsive to the access control information indicating that the access is granted, determine one or more attributes of the user based on output signals from one or more sensors; and

identify the user based on the authentication information, one or more attributes of the user.

10 . A method for machine learning assisted user identification, the method being implemented in a computing system comprising at least one processor and memory storing instructions, the method comprising:

obtaining authentication information for a user, the authentication information including a first authentication factor;

determining one or more attributes of the user based on output signals from one or more sensors;

training, using the obtained authentication information and the determined one or more attributes of the user, an identification model of a machine learning system, the identification model configured to identify the user; and

using the trained identification model to identify the user based on the determined one or more attributes of the user.

11 . The method of claim 10 , comprising:

obtaining access control information for the user from an access control system, the access control information indicating whether access was granted when using the authentication information; and

updating the trained model based on the access control information indicating whether access was granted.

12 . The method of claim 10 , wherein the one or more attributes of the user comprise one or more of biometric or behavioral characteristics of the user.

13 . The method of claim 10 , further comprising:

obtaining access control information for the user from an access control system, the access control information indicating whether access was granted based on the authentication information, and wherein

training the identification model is further based on the access control information.

14 . The method of claim 13 , further comprising:

responsive to the access control information indicating that the access is denied, filter the authentication information for the user and attribute of the user from data used to train the identification model.

15 . The method of claim 10 , further comprising:

determining additional authentication factors for authenticating the user based on the identification by the identification model, the additional authentication factors being based on the determined one or more attributes of the user.

16 . The method of claim 15 , further comprising:

building an authentication profile for the user, the authentication profile comprising the first authentication factor and the additional authentication factors.

17 . The method of claim 16 , further comprising:

dynamically updating the authentication profile based on new determined attributes of the user over time.