Invention Grant
- Patent Title: Identification of anomalies in an automatic teller machine (ATM) network
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Application No.: US16850649Application Date: 2020-04-16
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Publication No.: US11749070B2Publication Date: 2023-09-05
- Inventor: Ashok Kumar , Jessica Boettner , Kenneth M. Fischer , Prabhakar Rao Bolleddu , Carl Parziale , Lakshmipriya Varada
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06Q20/40
- IPC: G06Q20/40 ; G07F19/00 ; G06F17/18 ; H04L9/40

Abstract:
Aspects of the disclosure relate to monitoring an automatic teller machine (ATM) network and determining anomalous fault behavior in the ATM network. A computing device may determine historical fault volumes in the ATM network and generate a time-series model of the fault volumes. The computing platform may predict future fault volumes based on the generated time-series model. Based on the predicted future fault volumes and actual future fault volumes, the computing platform may determine anomalous fault behavior. The time-series model may be based on exogenous factors associated with ATM network operations.
Public/Granted literature
- US20210327223A1 IDENTIFICATION OF ANOMALIES IN AN AUTOMATIC TELLER MACHINE (ATM) NETWORK Public/Granted day:2021-10-21
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