	US 11,983,254 B2
	Secure access control framework using dynamic resource replication
Brandon Sloane, Santa Barbara, CA (US); Brian Diederich, Simi Valley, CA (US); and Levi Weldon McVay, Charlotte, NC (US)
Assigned to BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed by BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed on Aug. 1, 2023, as Appl. No. 18/228,709.
Application 18/228,709 is a continuation of application No. 17/140,934, filed on Jan. 4, 2021, granted, now 11,755,697.
Prior Publication US 2023/0376578 A1, Nov. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/31 (2013.01); G06F 9/50 (2006.01); G06N 20/00 (2019.01)

CPC G06F 21/31 (2013.01) [G06F 9/5005 (2013.01); G06N 20/00 (2019.01); G06F 2221/2123 (2013.01)]

17 Claims

1. A system for secure access control using dynamic resource replication, the system comprising:

at least one processing device; and

at least one non-transitory storage device with computer-readable program code stored thereon and accessible by the at least one processing device, wherein the computer-readable code when executed is configured to cause the at least one processing device to:

electronically receive, from a computing device of a user, a request to generate a resource access path to access a resource;

determine one or more resource requirements associated with the resource;

determine an authentication level associated with the user;

initiate a resource replication engine on the one or more resource requirements and the authentication level associated with the user;

determine, using the resource replication engine, that the one or more requirements and the authentication level associated with the user meets one or more conditions for a replication process; and

generate, using the resource replication engine, the resource access path and a plurality of replicate resource access paths based on at least determining that the one or more requirements and the authentication level associated with the user meets the one or more conditions for the replication process, wherein generating further comprises:

determining one or more configuration parameters associated with the resource access path, wherein the one or more configuration parameters is associated with access control enforcement for the resource;

initiating one or more machine learning algorithms on the one or more configuration parameters;

determining, using the one or more machine learning algorithms, one or more distribution parameters associated with the one or more configuration parameters;

skewing the one or more distribution parameters using a predetermined shift parameter to generate one or more skewed distribution parameters; and

generating, using the one or more machine learning algorithms, the plurality of replicate resource access paths using the one or more skewed distribution parameters.