Patent ID: 11902176
Assignee: BANK OF AMERICA CORPORATION
Field: Digital communication (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 0:
1. A system for detecting multi-dimensional linkage and layering of resource transfers using a distributed server network, the system comprising:
a memory device with computer-readable program code stored thereon;
a communication device; and
a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to execute the computer-readable program code to:
retrieve a set of resource transfer data from a distributed register, wherein the set of resource transfer data comprises data submitted by one or more entities regarding potentially unauthorized users, accounts, and resource transfers;
based on the set of resource transfer data, execute a deep learning-based machine learning algorithm to identify multi-dimensional linkages between the potentially unauthorized users, accounts, and resource transfers, wherein identifying the multi-dimensional linkages comprises:
detecting a resource transfer between a first potentially unauthorized user and a second potentially unauthorized user; and
based on detecting the resource transfer, forming a multi-dimensional linkage between the first potentially unauthorized user and the second potentially unauthorized user, wherein the multi-dimensional linkage comprises information regarding a direction of the resource transfer, a resource type associated with the resource transfer, and geo-spatial information associated with the resource transfer;

execute time series based tracking of the potentially unauthorized users, accounts, and resource transfers;
identify, within the set of resource transfer data, one or more layering patterns associated with a conversion of resources from a first format to a second format; and
identify one or more source agents, one or more layering agents, and one or more destination agents from the one or more potentially unauthorized users, accounts, and resource transfers, wherein identifying the one or more destination agents comprises uncovering, using the machine learning algorithm, a hidden recipient of an unauthorized resource transfer, wherein the hidden recipient was not included in the set of resource transfer data.