公开(公告)号：US10327139B2

公开(公告)日：2019-06-18

申请号：US15287557

申请日：2016-10-06

Applicant: BANK OF AMERICA CORPORATION

Inventor： Samuel Massa Moiyallah, Jr. ,  Joseph Benjamin Castinado

IPC: H04W12/06 ,  H04L29/06

Abstract: Embodiments of the present invention provide a multi-level authentication system to provide an additional level of authentication using phone application level data. The system extracts application level data and generates a questionnaire based on the extracted application level data. This questionnaire is transmitted to the device of the user by the system to receive an input related to the questionnaire. The system authorizes a request to execute an action upon validating the input received.

公开(公告)号：US10284538B2

公开(公告)日：2019-05-07

申请号：US15335009

申请日：2016-10-26

Applicant: Bank of America Corporation

Inventor： Samuel Massa Moiyallah, Jr. ,  Joseph Benjamin Castinado ,  Susan J. Moss

IPC: H04L29/06 ,  H04W12/06 ,  G06F21/31 ,  G06F21/32

Abstract: Disclosed is an event processing and identity validation system. The system typically includes a processor, a memory, and an event processing and identity validation module stored in the memory. The system is typically configured for: validating a set of identity information for each profile of a set of profiles, receiving an event request comprising user identifying information, comparing the user identifying information with the sets of identity information of the set of profiles to determine a matching profile, processing the event request by generating an authentication code, notifying the user of the event request, determining that a device of the user is within a defined distance of an authentication location and automatically transmitting the generated authentication code to the device of the user, receiving a key code from a computing device, and determining a match between the key code and the authentication code to complete the event request.

公开(公告)号：US20240104481A1

公开(公告)日：2024-03-28

申请号：US17954567

申请日：2022-09-28

Applicant: Bank of America Corporation

Inventor： Sam Willliam Christian ,  Samuel Massa Moiyallah, Jr.

IPC: G06Q10/06

CPC classification number: G06Q10/06395

Abstract: Aspects of the disclosure relate to generating transaction recommendations based on monitoring and analyzing consumer transactions. The computing platform may monitor consumer transactions and a transaction history associated with a consumer. The computing platform may analyze the transaction history and identify transactional issues the consumer may have experienced. The computing platform may determine whether current enterprise organization programs address the identified transactional issues. If the current enterprise organization programs fail to address the transactional issues, the computing platform may generate solutions to the transactional issues. Alternatively, if the current enterprise organization programs address the transactional issues, the computing platform may retrieve the programs. The computing platform may initiate communication with the consumer to transmit the programs and/or the generated solutions.

公开(公告)号：US10929545B2

公开(公告)日：2021-02-23

申请号：US16050149

申请日：2018-07-31

Applicant: BANK OF AMERICA CORPORATION

Inventor： Joseph Benjamin Castinado ,  Samuel Massa Moiyallah, Jr.

IPC: G06F21/60 ,  G06F21/62 ,  H04L9/06 ,  G06F16/11

Abstract: Systems, computer program products, and methods are provided for storing data files within a distributed trust computing network, such as a blockchain network, which acts as a source of truth for the digital copy. In response to storing the data file within the distributed trust computing network, a machine-readable code is generated that when read by an authorized entity provides access to the certified digital copy stored within the distributed trust computing network. In this regard the machine-readable code serves as a pointer to the distributed trust computing network and the storage location within the trust network and, in specific embodiments the code is dynamic so as to provide access privileges (e.g., security credentials required to access, the content authorized to access, duration period for accessing and the like).

公开(公告)号：US10936741B2

公开(公告)日：2021-03-02

申请号：US16195276

申请日：2018-11-19

Applicant: BANK OF AMERICA CORPORATION

Inventor： Joseph Benjamin Castinado ,  Samuel Massa Moiyallah, Jr.

IPC: G06F21/62 ,  H04L29/06

Abstract: Systems, computer program products, and methods are provided for categorizing data entries or segments from data files and storing the categorized data within category-specific blocks of a distributed ledger within a distributed trust computing network. Access credentials are generated that link/point to the those category-specific blocks containing data entries/segments that the credential holder is authorized to access. As such, the present invention insures that authorized entities (i.e., credential holders) that are accessing the distributed trust network for the purpose of verifying/authenticating data contained therein only have access to that portion/segment of the data file (e.g., specific data entries or the like) that they are authorized to access. In other words, the present invention, limits the authorized entity to only accessing data from the data file on a need-to-know basis.

公开(公告)号：US10313441B2

公开(公告)日：2019-06-04

申请号：US15430951

申请日：2017-02-13

Applicant: Bank of America Corporation

Inventor： Samuel Massa Moiyallah, Jr. ,  Joseph Benjamin Castinado

IPC: H04L12/26 ,  H04L29/08 ,  G06N20/00

Abstract: Aspects of the disclosure relate to implementing and using a data processing system with a machine learning engine to provide enterprise monitoring functions. A computing platform may receive environment mapping data from a distributed computing environment. Subsequently, the computing platform may generate a machine learning dataset based on the environment mapping data. Then, the computing platform may validate the machine learning dataset and may monitor the distributed computing environment. Based on monitoring the distributed computing environment, the computing platform may detect an environmental modification in the distributed computing environment. After detecting the environmental modification in the distributed computing environment, the computing platform may receive updated environment mapping data from the distributed computing environment. Subsequently, the computing platform may generate an updated machine learning dataset based on the updated environment mapping data received from the distributed computing environment.