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公开(公告)号：US11295020B2
公开(公告)日：2022-04-05
申请号：US16531603
申请日：2019-08-05
Applicant: Bank of America Corporation
Inventor： Eren Kursun
Abstract: A system for integrated natural language programming (“NLP”) and event analysis provides threat detection in computing systems. In particular, the system may use an NLP unit to analyze threat logs from various sources according to multiple different metrics and/or analysis paradigms. Upon completing the analysis, the system may extract, via machine learning, event and/or threat patterns which may be integrated into the system's threat detection processes.
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公开(公告)号：US20210174244A1
公开(公告)日：2021-06-10
申请号：US16706522
申请日：2019-12-06
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: A system for machine learning data pattern recognition for misappropriation identification is provided. The system comprises a controller configured for learning and identifying misappropriation data patterns. The controller is further configured to: receive interaction data associated with a received interaction, the interaction data comprising one or more features, wherein the one or more features are measurable characteristics of the interaction; calculate a feed-forward scoring of an input of the interaction data comprising one or more features; generate a relevance visualization map of the one or more features of the feed-forward scoring; match, using a machine learning model, the relevance visualization map of the received interaction to a visualization pattern associated with a known labeled misappropriation type, wherein the machine learning model is trained with known misappropriation data patterns; and display the relevance visualization map and the visualization pattern from the known misappropriation patterns with the known labeled misappropriation type.
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13.发明申请公开(公告)号：US20210049455A1
公开(公告)日：2021-02-18
申请号：US16537882
申请日：2019-08-12
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: Embodiments of the present invention provide an improvement to convention machine model training techniques by providing an innovative system, method and computer program product for the generation of synthetic data using an iterative process that incorporates multiple machine learning models and neural network approaches. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns is provided. Common characteristics of data from the identified emerging patterns are broadened in scope and used to generate a synthetic data set using a generative neural network approach. The resulting synthetic data set is narrowed based on analysis of the synthetic data as compared to the detected emerging patterns, and can then be used to further train one or more machine learning models for further pattern detection.
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公开(公告)号：US20210049300A1
公开(公告)日：2021-02-18
申请号：US16538380
申请日：2019-08-12
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: An electronic communication security system is typically configured for tracking and monitoring user activity of a user, identifying a trigger based on monitoring and tracking the user activity, communicating with back-end system to extract information associated with a resource entity that is associated with the trigger, communicating with the back-end systems to identify user agreement associated with the user and the resource entity, identifying one or more supplemental resources provided by the resource entity, based on the user agreement, prompting the user to authorize transfer of anonymized user data to the resource entity to receive the one or more supplemental resources, anonymizing the user data and transmit the anonymized user data to the resource entity, in response to transmitting the anonymized user data to the resource entity, receiving the one or more supplemental resources from the resource entity, and transmitting the one or more supplemental resources to the user device.
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15.发明申请公开(公告)号：US20210044602A1
公开(公告)日：2021-02-11
申请号：US16532957
申请日：2019-08-06
Applicant: Bank of America Corporation
Inventor： Eren Kursun
Abstract: Systems, computer program products, and methods are described herein for a centralized resource transfer engine for facilitating resource transfers between distributed IoT devices. The present invention is configured to receive, from a first autonomous IoT device, a transaction authorization request; receive information associated with the first autonomous IoT device, information associated with the second autonomous IoT device, and information associated with the transaction; determine a first device profile associated with the first autonomous IoT device; determine a second device profile associated with the second autonomous IoT device; determine a first exposure score for the first autonomous IoT device; determine a second exposure score for the second autonomous IoT device; determine whether the first exposure score and the second exposure score are within a predetermined authorization threshold level; and determine that the first autonomous IoT device is authorized to execute the transaction with the second autonomous IoT device.
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Patent Agency Ranking
公开(公告)号：US20200382491A1
公开(公告)日：2020-12-03
申请号：US16429659
申请日：2019-06-03
Applicant: Bank of America Corporation
Inventor： Eren Kursun
Abstract: Embodiments of the present invention provide a system for security analysis and authentication. The system can analyze, using a deep neural network machine learning system, historical one time password (“OTP”) information, historical information, historical malfeasance information, and historical information for a plurality of users to determine available OTPs. When an authentication request is received, one of the available OTPs is randomly or variedly selected and the user is prompted to provide information along with a response for the OTP. The received information is analyzed against the historical information and an OTP signature is generated for the user. This OTP signature is used to determine whether the user is authenticated for one or more authentication elements.
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公开(公告)号：US20200372402A1
公开(公告)日：2020-11-26
申请号：US16422380
申请日：2019-05-24
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun , Hylton N. van Zyl
IPC: G06N20/00
Abstract: An artificial intelligence system and method for improving machine learning model adaptability are provided for a population of machine learning models configured to monitor a real-time data stream. A controller is configured for training and reconfiguring the population of the machine learning models in response to changes in the data stream; continuously monitor the population of the machine learning models, wherein continuously monitoring the population comprises collecting performance metrics for each of the machine learning models; analyze the performance metrics for each of the machine learning models by comparing the performance metrics to threshold values; and based on analyzing the performance metrics, reconfigure the population of the machine learning models.
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公开(公告)号：US20200329043A1
公开(公告)日：2020-10-15
申请号：US16915371
申请日：2020-06-29
Applicant: BANK OF AMERICA CORPORATION
Inventor： Dharmender Kumar Satija , Eren Kursun , Andrew DongHo Kim , Scott Anderson Sims , Craig D. Widmann
IPC: H04L29/06
Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.
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公开(公告)号：US20200329042A1
公开(公告)日：2020-10-15
申请号：US16915356
申请日：2020-06-29
Applicant: BANK OF AMERICA CORPORATION
Inventor： Dharmender Kumar Satija , Eren Kursun , Andrew DongHo Kim , Scott Anderson Sims , Craig D. Widmann
IPC: H04L29/06
Abstract: A system and methods for alternate user communication routing are described. Unauthorized users are identified and alternate treatments are provided in order to deter unauthorized access and create opportunities for data collection. The use of a varied set of alternate treatments provides an enhanced view of unauthorized user behavior and an increased ability to track future unauthorized user actions by recording various user identity/communication characteristics specific to known unauthorized users. Alternate treatments may be provided randomly based on a set of alternate treatments previously provided to a specific user, or may be varied based on an identified group of unauthorized users presumed to be acting in concert.
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20.发明申请公开(公告)号：US20200160184A1
公开(公告)日：2020-05-21
申请号：US16197197
申请日：2018-11-20
Applicant: BANK OF AMERICA CORPORATION
Inventor： Eren Kursun
Abstract: A system for reconfiguring neural network architecture responsive to a system state is provided. A controller for modifying a neural network learning engine is configured to monitor a data stream having a data pattern by comparing the data pattern to a trained data pattern; identify a change in the data pattern of the data stream; determine a state of the neural network learning engine, the state defining one or more neural network parameters for monitoring the data stream with the neural network learning engine; and in response to identifying the change in the data pattern and determining the state, reconfigure an architectural configuration of the neural network learning engine by modifying the one or more neural network parameters.
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