-
公开(公告)号：US20250039137A1
公开(公告)日：2025-01-30
申请号：US18225910
申请日：2023-07-25
Applicant: BANK OF AMERICA CORPORATION
Inventor： Shailendra Singh
IPC: H04L9/40
Abstract: Systems, computer program products, and methods are described herein for improving cybersecurity by using webpage rendering telemetry to detect webpage anomalies. The present invention is configured to identify at least one electronic communication, wherein the at least one electronic communication comprises at least one electronic link; route the at least one electronic communication to a cybersecurity analyzer sandbox; construct, by a cybersecurity analyzer sandbox, a webpage rendering based on the at least one electronic link; collect, by the cybersecurity analyzer sandbox, at least one webpage telemetry data; collect, by the cybersecurity analyzer sandbox, at least one webpage rendering type data; identify at least one baseline webpage rendering; apply at least one of the at least one webpage telemetry data or the at least one webpage rendering type data and the at least one baseline webpage rendering to a webpage anomaly detection model; and generate a cybersecurity score.
-
公开(公告)号：US20240403851A1
公开(公告)日：2024-12-05
申请号：US18203114
申请日：2023-05-30
Applicant: Bank of America Corporation
Inventor： Abhijit Behera , Maneesh Kumar Sethia , Nandini Rathaur , Sandeep Kumar Chauhan , Shailendra Singh , Gowri Sundar Suriyanarayanan
IPC: G06Q20/20 , G06K7/10 , G06K19/07 , G06K19/077
Abstract: A color-changing smart card may be provided. The smart card may include a first layer encasing at least a front of the smart card. The smart card may include a smart chip on the front of the smart card. The smart chip may be configured for transmitting and receiving electronic communications to and from a point of sale (“POS”) device. The smart card may include microcapsules residing on a second layer of the smart card. When the microcapsules are in a rest state the first layer may have a first color. When the microcapsules are in an active state the first layer may have a second color. The microcapsules may be triggered to change the color in response to the smart chip receiving an electronic communication of a status of a transaction initiated by the smart card at the POS device.
-
3.发明授权公开(公告)号：US12147539B2
公开(公告)日：2024-11-19
申请号：US17696303
申请日：2022-03-16
Applicant: BANK OF AMERICA CORPORATION
Inventor： Shailendra Singh , Vasuki Anand
Abstract: A system includes a memory and a processor. The memory stores a plurality of records associated with a device and a machine learning algorithm. The plurality of records includes a first record and a second record. The first record includes a first set of parameters extracted from the device at a first time. The second record includes a second set of parameters extracted from the device at a second time, with a difference between the first set of parameters and the second set of parameters resulting from of an update to the device. The machine learning algorithm is configured to determine a probability that the update was unauthorized. The processor executes the machine learning algorithm, and determines that the probability is greater than a threshold. In response to determining that the probability is greater than the threshold, the processor rejects a request transmitted by the device.
-
公开(公告)号：US12131329B2
公开(公告)日：2024-10-29
申请号：US18124063
申请日：2023-03-21
Applicant: Bank of America Corporation
Inventor： Shailendra Singh
CPC classification number: G06Q20/4016 , G06Q20/02 , G06Q20/389 , G06N10/00 , G06N20/00
Abstract: Systems and methods for securing a cryptocurrency asset transfer via a cross-blockchain bridge. Methods may include detecting a request to transfer the asset between blockchains and extracting a set of features such as smart contract bytecode from event logs associated with the blockchains and a blockchain bridge. Methods may include using a photonic quantum processor to use i) a long short-term neural network and ii) a neural network to generate machine learning models based on the extracted features to output i) a security risk threshold and ii) a security risk percentage, respectively. When the security risk percentage is below the security risk threshold, the method may permit the execution of a smart contract to allow transfer of the cryptocurrency asset over the blockchain bridge. When the security risk percentage is above the security risk threshold, the method may involve blocking an execution of a smart contract on the blockchain bridge.
-
5.发明公开公开(公告)号：US20240296453A1
公开(公告)日：2024-09-05
申请号：US18115858
申请日：2023-03-01
Applicant: Bank of America Corporation
Inventor： Shailendra Singh , Maneesh Kumar Sethia
CPC classification number: G06Q20/4016 , G06Q20/1085 , G06Q20/389
Abstract: A decentralized swarm intelligence algorithm over a network of paired ATMs to prevent or control surface attacks on ATMs. The ATMs may be seeded with an initial swarm intelligence model to identify suspicious activity. An ATM may relay alerts about suspicious activity at that ATM to other paired ATMs. The ATMs use machine learning to update the model and perform swarm intelligence autonomously at the paired ATMs. A bank may provide the initial swarm intelligence model, receive alerts about and analyze the attacks, and provide updated swarm intelligence models to prevent or limit future attacks. Smart contracts may be used to specify rules for performing swarm intelligence using the paired ATMs. Records regarding swarm intelligence models, attempted suspicious attacks including payment instruments that may have been used, actions taken in response to the attacks, and smart contracts may be recorded on a blockchain distributed ledger.
-
Patent Agency Ranking
公开(公告)号：US20240281687A1
公开(公告)日：2024-08-22
申请号：US18111644
申请日：2023-02-20
Applicant: Bank of America Corporation
Inventor： Shailendra Singh
Abstract: Arrangements for optimizing quantum bit consumption of quantum programs are provided. In some aspects, a quantum program of a plurality of quantum programs to be executed on target quantum hardware may be received from a digital computing device. The quantum program may be scanned and metadata associated with the quantum program may be parsed using machine learning. In some examples, the quantum program may be optimized by modifying quantum program code for minimum quantum bit consumption using machine learning. A criticality level of the quantum program may be determined based on contextual logic associated with the quantum program. Based on the determined criticality level, a priority sequence may be determined, indicating an order in which the plurality of quantum programs are to be deployed to the target quantum hardware. The quantum program may be transmitted to the target quantum hardware according to the priority sequence.
-
公开(公告)号：US12058005B1
公开(公告)日：2024-08-06
申请号：US18243901
申请日：2023-09-08
Applicant: Bank of America Corporation
Inventor： Shailendra Singh , Maneesh Sethia , Saurabh Garg
Abstract: Aspects of the disclosure relate to using machine learning models to automatically generate spine-leaf network topologies. A computing system may receive one or more prompts to generate a spine-leaf network topology based on a non-spine-leaf network topology of a non-spine-leaf network. Based on inputting the prompts into a natural language processing model, network criteria for generating the spine-leaf network topology may be generated. Non-spine-leaf network topology data comprising network metadata, network dependency parameters, and network constraint parameters, may be retrieved. Based on inputting the network criteria and the non-spine-leaf network data into a generative adversarial network implemented on a quantum computing device, candidate spine-leaf topologies comprising a qualified candidate spine-leaf network topology that meets the network criteria may be generated. A block of a blockchain may be generated and may comprise the qualified candidate spine-leaf network topology that meets the network criteria.
-
8.发明公开公开(公告)号：US20240231818A1
公开(公告)日：2024-07-11
申请号：US18611774
申请日：2024-03-21
Applicant: BANK OF AMERICA CORPORATION
Inventor： Shailendra Singh , Kamlesh Kanayalal Gangaramani
CPC classification number: G06F8/77 , G06F16/2379 , G06F21/6209 , G06Q20/02
Abstract: Systems, computer program products, and methods are described herein for detection and recordation of functional code logic components on a distributed development platform. The present invention is configured to retrieve, from a source code repository, a source code script, wherein the source code script is associated with a first source; initiate a machine learning model on the source code script; determine, using the machine learning model, at least one functional code logic component from the source code script; initiate an NFT source code mapping engine on the at least one functional code logic component; generate, using the NFT source code mapping engine, a NFT for the at least one functional code logic component, wherein the NFT comprises the at least one functional code logic component and information associated with the first source; and record the NFT in a distributed ledger.
-
公开(公告)号：US12034807B1
公开(公告)日：2024-07-09
申请号：US18477652
申请日：2023-09-29
Applicant: Bank of America Corporation
IPC: H04L67/1097 , H04L47/6275
CPC classification number: H04L67/1097 , H04L47/6275
Abstract: An apparatus comprises a memory communicatively coupled to a processor. The memory may be configured to store data exchange requests. The processor may be configured to determine that a data exchange request of the data exchange requests comprises a status indicating that the data exchange request is incomplete, generate a priority value for the data exchange request indicating a batch priority associated with the data exchange request, and assign a weight for the data exchange request indicating that the data exchange request is expected to be completed in one or more batch orders. Further, the processor is configured to generate a batch order comprising a position in a queue corresponding to the batch priority and complete the data exchange request in the decentralized network in accordance with the position in the batch order.
-
公开(公告)号：US12026570B1
公开(公告)日：2024-07-02
申请号：US18140058
申请日：2023-04-27
Applicant: Bank of America Corporation
Inventor： Shailendra Singh , Sandeep Kumar Chauhan , Sheetal Bhatia
IPC: G06K19/077 , G05B19/4099 , G06Q20/06
CPC classification number: G06K19/07722 , G05B19/4099 , G06Q20/065 , G05B2219/49023
Abstract: A user may print a smart card on-demand by leveraging an Extended Reality (XR) interface to enter card specifications and supply them to a card issuer as an encrypted payload. The card issuer may send the user a non-fungible token (NFT) with instructions for rendering and 3D printing the card using the user's XR interface. The printed card may have an interior layer that includes a pattern of micro electromechanical sensor (MEMS) tactile sensors that uniquely identify the card. The sensors may be placed in selected locations based on a predefined grid pattern of potential sensor locations. The 3D printer may add a non-programmed smart chip to the card. The 3D printer may be a user's printer, or may be a 3D printer at an automated teller machine (ATM). An ATM may be configured to validate and activate the card after detecting the MEMS pattern and programming the smart chip.
-
-
-
-
-
-
-
-
-
Search Results
170
records
(took 0.118 seconds)
