Invention Grant
- Patent Title: Identification of anomalies in an automatic teller machine (ATM) network
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Application No.: US18216298Application Date: 2023-06-29
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Publication No.: US12056992B2Publication Date: 2024-08-06
- 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 ; G06F17/18 ; G07F19/00 ; 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 system may determine historical fault volumes in the ATM network and generate a time-series model of the fault volumes. The system 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 system may determine anomalous fault behavior and perform a remedial action associated with the ATM fault code determined from anomalous observed fault volumes.
Public/Granted literature
- US20230343188A1 Identification of Anomalies in an Automatic Teller Machine (ATM) Network Public/Granted day:2023-10-26
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