US 12,373,839 B2
Controlling ATM surface attacks leveraging decentralized swarm intelligence using ATMS
Shailendra Singh, Maharashtra (IN); and Maneesh Kumar Sethia, Hyderabad (IN)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Mar. 1, 2023, as Appl. No. 18/115,858.
Prior Publication US 2024/0296453 A1, Sep. 5, 2024
Int. Cl. G06Q 20/40 (2012.01); G06Q 20/10 (2012.01); G06Q 20/38 (2012.01)
CPC G06Q 20/4016 (2013.01) [G06Q 20/1085 (2013.01); G06Q 20/389 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A method for controlling access to an automated teller machine (ATM) upon detection of a suspicious payment instrument, the method comprising:
pairing a first ATM with a plurality of other ATMs to form a network of paired ATMs that perform banking transactions and serve as distributed nodes for performing a swarm intelligence algorithm, wherein the paired ATMs are accessible using one or more payment instruments that are external to the ATMs;
receiving, at the first ATM, an initial swarm intelligence model for performing the swarm intelligence algorithm on the network of paired ATMs;
detecting, by the first ATM, one of the one or more payment instruments used by a user to access the first ATM and capturing information about the payment instrument;
determining, by the first ATM, whether the detected payment instrument of the user is suspicious based on the initial swarm intelligence model and the captured information;
allowing, by the first ATM, interaction with the payment instrument when the payment instrument is not determined to be suspicious; and
when the detected payment instrument of the user is determined to be suspicious:
executing, by the first ATM, an action to control access to the first ATM by the payment instrument that is determined to be suspicious;
relaying, by the first ATM, an alert to the plurality of other ATMs about the suspicious payment instrument; and
updating, at the first ATM, the initial swarm intelligence model to an updated swarm intelligence model that accounts for the determination that the payment instrument is suspicious.