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公开(公告)号：US20250047708A1
公开(公告)日：2025-02-06
申请号：US18228137
申请日：2023-07-31
Applicant: Bank of America Corporation
Inventor： George Anthony Albero , Maharaj Mukherjee , Jinna Kim , Timothy Scott Murphy
Abstract: A computing platform may train, using historical information access pattern information, a machine learning model to identify unauthorized information access patterns. The computing platform may obscure internal traffic pattern information, and monitor access of the obscured internal traffic pattern information. The computing platform may generate, by inputting information of the access into the machine learning model, a user evaluation output, and may compare the user evaluation output to a first user evaluation threshold. Based on identifying that the user evaluation output meets or exceeds the first user evaluation threshold, the computing platform may modify traffic routing rules corresponding to the user, which may cause activity by the user to be routed to a secure sandbox for further analysis.
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2.发明授权公开(公告)号：US12160360B2
公开(公告)日：2024-12-03
申请号：US17672865
申请日：2022-02-16
Applicant: BANK OF AMERICA CORPORATION
Inventor： Maharaj Mukherjee
Abstract: Systems, computer program products, and methods are described herein for packet cluster routing using quantum optimization within a distributed network. An example system receives data packets from a source to be transmitted to a target via a cluster of nodes in the distributed network. The example system retrieves information associated with each node in the cluster of nodes. The example system uses a quantum optimization engine to determine an optimal data path from an ingress node to an egress node in the cluster of nodes based on at least the information associated with each node. Upon determining the optimal data path, the example system routes the data packets from the source, via the optimal data path, to the target.
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公开(公告)号：US12158885B2
公开(公告)日：2024-12-03
申请号：US17557418
申请日：2021-12-21
Applicant: Bank of America Corporation
Inventor： Carl M. Benda , Maharaj Mukherjee , Utkarsh Raj , Elvis Nyamwange , Suman Roy Choudhury
IPC: G06F16/24 , G06F16/21 , G06F16/242 , G06F16/2452 , G06F16/2453 , G06F16/248 , G06F16/25 , G06F40/205
Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a request to perform a data migration from a first database configured in a first format to a second database configured in a second format. The computing platform may receive, from the client application and at an abstraction layer, a query. Based on identifying that the query is formatted for execution at the second database, the computing platform may route the query to the second database for execution. Based on identifying that the query is not formatted for execution at the second database, the computing platform may: 1) translate the query from the first format to the second format by using pre-verified query keys to convert the query from the first format into the second format, and 2) route the translated query to the second database for execution.
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公开(公告)号：US20240394127A1
公开(公告)日：2024-11-28
申请号：US18201817
申请日：2023-05-25
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee
Abstract: A computing platform may train an image comparison model to predict system failure for technology infrastructure based on telemetry state images. The computing platform may receive telemetry data for the plurality of computing systems over a period of time. The computing platform may generate, based on the telemetry data and for each parameter represented in the telemetry data, a telemetry state image, where each telemetry state image plots the period of time on an x axis, plots the plurality of computing systems on a y axis, and is specific to a respective parameter represented in the telemetry data. The computing platform may classify, using the image comparison model and using parallel processing, the telemetry state images. The computing platform may identify a likelihood of failure for the technology infrastructure, and may cause modification of operations at one or more of the plurality of computing systems to prevent a predicted failure.
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公开(公告)号：US20240386696A1
公开(公告)日：2024-11-21
申请号：US18197924
申请日：2023-05-16
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee , Utkarsh Raj , Colin Murphy , Carl Benda , Elvis Nyamwange , Vijay Kumar Yarabolu , Suman Roy Choudhury
Abstract: A computing platform may train, using historical telemetry state images, an image comparison model to identify matches between telemetry state images. The computing platform may generate a plurality of system alerts corresponding to a period of time. The computing platform may access telemetry data corresponding to the period of time. The computing platform may generate, based on the telemetry data and for a time corresponding to each of the plurality of system alerts, a telemetry state image. The computing platform may input, into the image comparison model, the telemetry state images to identify whether or not any of the plurality of telemetry state images match. Based on detecting a match, the computing platform may consolidate system alerts corresponding to the matching telemetry state images, which may produce a single system alert and may send, to a user device, the single system alert.
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Patent Agency Ranking
公开(公告)号：US12120228B2
公开(公告)日：2024-10-15
申请号：US18244981
申请日：2023-09-12
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee , Prashant Thakur
CPC classification number: H04L9/0863 , G06Q20/3821 , G06Q20/401 , H04L9/3228 , H04L9/50
Abstract: Aspects of the disclosure relate to distributed ledgers in OTP verification. A computing platform may receive an event processing request. The computing platform may generate a one time password, and record the one time password in a distributed ledger, and send the one time password to a first device. The computing platform may receive, from a second device, the one time password, which may have been sent from the first device to the second device. Using the distributed ledger, the computing platform may validate the one time password, and may record, in the distributed ledger, validation information indicating that the first one time password was validated. Based on validating the first one time password using the distributed ledger, the computing platform may process a requested event, and may notify the second device that the event was processed.
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公开(公告)号：US20240338606A1
公开(公告)日：2024-10-10
申请号：US18746148
申请日：2024-06-18
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee
IPC: G06N20/00 , G06Q30/0601
CPC classification number: G06N20/00 , G06Q30/0601
Abstract: Aspects of the disclosure relate to an automated model generation platform for recursive model building. A computing platform may receive a request for automated machine learning model building, and may identify a service offering corresponding to the request. Based on the identified service offering and using machine learning algorithms, the computing platform may select machine learning models and a corresponding sequence of model application (e.g., machine learning model information). The computing platform may store the machine learning model information along with a corresponding indication of the identified service offering. The computing platform may receive a request for model information corresponding to a service access request, and may identify that the service access request corresponds to a problem within the identified service offering. In response, the computing platform may send the machine learning model information, which may cause the enterprise service host system to generate a service output interface.
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公开(公告)号：US20240160552A1
公开(公告)日：2024-05-16
申请号：US18508654
申请日：2023-11-14
Applicant: BANK OF AMERICA CORPORATION
Inventor： Maharaj Mukherjee , Carl M. Benda , Elvis Nyamwange , Utkarsh Raj , Suman Roy Choudhury , Vidya Srikanth , Colin Murphy
CPC classification number: G06F11/3409 , G06F11/3024
Abstract: Systems, computer program products, and methods are described herein for performance monitoring using aggregated telemetry. The present disclosure is configured to receive, from the first performance monitoring engine, a first metadata associated with the first resiliency status; receive, from the second performance monitoring engine, a second metadata associated with the second resiliency status; determine, using a machine learning (ML) subsystem, an overall resiliency status of the device based on at least the first metadata, the second metadata, the first resiliency status, and the second resiliency status; determine one or more actions to be executed on the device, wherein the one or more actions are associated with the overall resiliency status; generate a notification indicating the overall resiliency status of the device and the one or more actions associated with the overall resiliency status; and transmit control signals configured to cause a user input device to display the notification.
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公开(公告)号：US20240095628A1
公开(公告)日：2024-03-21
申请号：US17948621
申请日：2022-09-20
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee , George Albero , Jinna Kim
CPC classification number: G06Q10/06315 , G06Q30/0206 , G06Q50/06 , H02J3/003 , H02J3/144
Abstract: Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request. The computing platform may identify parameters of the event processing request. The computing platform may input the parameters into a global energy optimization model, to identify an edge computing system at which to process the event processing request. The computing platform may route the event processing request to the edge computing system along with commands to process the event processing request using an energy mix identified by a local energy optimization model, corresponding to the edge computing system, which may cause the edge computing system to: input the parameters of the event processing request into the local energy optimization model to identify the energy mix, and process, using the energy mix, the event processing request.
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公开(公告)号：US20240070527A1
公开(公告)日：2024-02-29
申请号：US17899779
申请日：2022-08-31
Applicant: Bank of America Corporation
Inventor： Maharaj Mukherjee , Carl M. Benda
Abstract: Aspects of the disclosure relate to digital twin simulation. A computing platform may receive historical information. The computing platform may train, using the historical information, a digital twin model, configured to identify agricultural information based on input of a query requesting the agricultural information. The computing platform may receive, from a user device, a query requesting the agricultural information. The computing platform may input, into the digital twin model, the query, to output the agricultural information based on the historical information and the relationships between the feature models. The computing platform may direct a vendor computing system to execute actions based on the agricultural information, which may cause the vendor computing system to execute the one or more actions.
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