Patents by Inventor Ana ARMENTA

Ana ARMENTA has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11902308
    Abstract: A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.
    Type: Grant
    Filed: June 3, 2021
    Date of Patent: February 13, 2024
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Edmond Abrahamian, Maisam Shahid Wasti, Andrew Campbell, Ana Armenta, Prince Paulraj
  • Publication number: 20230401512
    Abstract: Mitigation of temporal generalization losses a target machine learning model is disclosed. Mitigation can be based on identifying, removing, modifying, transforming, etc., features, explanatory variables, models, etc., that can have an unstable relationship with a target outcome over time. Implementation of a more stable representation can be initiated. Temporal stability measures (TSMs) for one or more model feature(s) can be determined based on one or more variable performance metrics (VPMs). A group of one or more VPMs can be selected based on features of a model in either a development or production environment. Model feature modification can be recommended based on a TSM, which can prune a feature, transform a feature, add a feature, etc. Temporal stability information can be presented, e.g., via a dashboard-type user interface. Models can be updated based on mutations of a model comprising a feature modification(s), including competitive champion/challenger model updating.
    Type: Application
    Filed: June 13, 2022
    Publication date: December 14, 2023
    Inventors: Brandon Bolong Lee, Andrew Campbell, Ana Armenta, Prince Paulraj
  • Patent number: 11710081
    Abstract: A processing system may obtain a customer identifier at a first retail location of a telecommunication network service provider, determine a recency factor of the identifier, obtain an identification of items of interest to the customer, and determine whether the customer has visited a second retail location of the provider within a time period prior to the customer being at the first retail location. The processing system may then apply, to a fraud detection machine learning model, a plurality of factors comprising: a quantity of items of interest, a value of the items, a factor associated with whether the customer has visited the second retail location within the time period, and the recency factor, where the fraud detection machine learning model outputs a fraud indicator value, determine that the fraud indicator value meets a warning threshold and present a warning to a device at the first retail location.
    Type: Grant
    Filed: June 5, 2020
    Date of Patent: July 25, 2023
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Edmond J. Abrahamian, Ana Armenta, James Pratt
  • Publication number: 20230216968
    Abstract: A processing system may maintain a communication graph that includes nodes representing a plurality of phone numbers including a first phone number and edges between the nodes representing a plurality of communications between the plurality of phone numbers and may generate at least one vector via a graph embedding process applied to the communication graph, the at least one vector representing features of at least a portion of the communication graph. The processing system may then apply the at least one vector to a prediction model that is implemented by the processing system and that is configured to predict whether the first phone number is associated with a type of network activity associated with a telecommunication network and may implement a remedial action in response to an output of the prediction model indicating that the first phone number is associated with the type of network activity.
    Type: Application
    Filed: December 31, 2021
    Publication date: July 6, 2023
    Inventors: Elijah Hall, Prince Paulraj, Ana Armenta, Surya Murali
  • Publication number: 20230216967
    Abstract: A processing system may maintain a relationship graph that includes nodes and edges representing phone numbers and device identifiers having associations with the phone numbers. The processing system may obtain an identification of a first phone number or a first device identifier for a fraud evaluation and extract features from the relationship graph associated with at least one of the first phone number or the first device identifier. The plurality of features may include one or more device identifiers associated with the first phone number, or one or more phone numbers associated with the first device identifier. The processing system may then apply the features to a prediction model that is implemented by the processing system and that is configured to output a fraud risk value of the first phone number or the first device identifier and implement at least one remedial action in response to the fraud risk value.
    Type: Application
    Filed: December 31, 2021
    Publication date: July 6, 2023
    Inventors: Surya Murali, Edmond J. Abrahamian, Ana Armenta, Prince Paulraj, Elijah Hall
  • Publication number: 20230153873
    Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of a first change to a first aspect of a user account; applying some or all of the first information to a first model to determine a first score associated with the first change; aggregating the first score with one or more first prior scores associated with one or more prior changes to the first aspect of the user account, resulting in a first aggregate score; obtaining second information indicative of a second change to a second aspect of the user account; applying some or all of the second information to a second model, that is different from the first model, to determine a second score associated with the second change; aggregating the second score with one or more second prior scores associated with one or more prior changes to the second aspect of the user account, resulting in a second aggregate score; and storing the first aggregate score and the second aggregate score in a database.
    Type: Application
    Filed: November 18, 2021
    Publication date: May 18, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Qiuying Jiang, Ana Armenta, Prince Paulraj, Jean Luo
  • Publication number: 20230136950
    Abstract: An example method performed by a processing system obtaining a first port-in number for a first mobile device from a first mobile communications service provider, wherein the first port-in number is known to be involved in fraudulent activity, constructing a social graph of communications between the first port-in number and a plurality of other numbers associated with a plurality of other communications devices, identifying, by the processing system, a maximal subgraph of the social graph, wherein the maximal subgraph connects the first port-in number and a subset of the plurality of other numbers that includes those of the plurality of other numbers for which a usage metric is below a predefined threshold for a defined period of time prior to the first port-in number being ported into the first mobile communications service provider, and identifying, by the processing system, a potential fraud ring, based on the maximal subgraph.
    Type: Application
    Filed: October 17, 2022
    Publication date: May 4, 2023
    Inventors: Edmond J. Abrahamian, Lauren Savage, Surya Murali, Ana Armenta
  • Publication number: 20230092557
    Abstract: Aspects of the subject disclosure may include, for example, monitoring a first activity undertaken by a communication device during a first communication session, generating, based on the monitoring, first data that indicates an amount of time that is spent on the first activity, comparing, based on the generating, the first data to a threshold, and identifying, based on at least the comparing, an action to take when the amount of time that is spent on the first activity exceeds the threshold. Other embodiments are disclosed.
    Type: Application
    Filed: September 21, 2021
    Publication date: March 23, 2023
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Maisam Shahid Wasti, Sai Sharath Japa, Ana Armenta, Prince Paulraj
  • Publication number: 20230029312
    Abstract: To detect multiple suspicious patterns while at the same time keeping the number of model parameters low, a learned aggregation model is used to distinguish suspiciously similar applications from unrelated applications.
    Type: Application
    Filed: July 22, 2021
    Publication date: January 26, 2023
    Inventors: Prince Paulraj, Arun Luthra, Ana Armenta, Jean Luo
  • Publication number: 20220394049
    Abstract: A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.
    Type: Application
    Filed: June 3, 2021
    Publication date: December 8, 2022
    Inventors: Edmond Abrahamian, Maisam Shahid Wasti, Andrew Campbell, Ana Armenta, Prince Paulraj
  • Publication number: 20220366430
    Abstract: Data stream based event sequence anomaly detection for mobility customer fraud analysis is presented herein. A system obtains a sequence of events comprising respective modalities of communication that correspond to a subscriber identity associated with a communication service—the sequence of events having occurred within a defined period. Based on defined classifiers representing respective fraudulent sequences of events, the system determines, via a group of machine learning models corresponding to respective machine learning processes, whether the sequence of events satisfies a defined condition with respect to likelihood of representing a fraudulent sequence of events of the respective fraudulent sequences of events. In response to the sequence of events being determined to satisfy the defined condition, the system sends, via a user interface of the system, a notification indicating that the sequence of events has been determined to represent the fraudulent sequence of events.
    Type: Application
    Filed: May 14, 2021
    Publication date: November 17, 2022
    Inventors: Ryan Steckel, Ana Armenta, Prince Paulraj, Chih Chien Huang
  • Patent number: 11477651
    Abstract: An example method performed by a processing system obtaining a first port-in number for a first mobile device from a first mobile communications service provider, wherein the first port-in number is known to be involved in fraudulent activity, constructing a social graph of communications between the first port-in number and a plurality of other numbers associated with a plurality of other communications devices, identifying, by the processing system, a maximal subgraph of the social graph, wherein the maximal subgraph connects the first port-in number and a subset of the plurality of other numbers that includes those of the plurality of other numbers for which a usage metric is below a predefined threshold for a defined period of time prior to the first port-in number being ported into the first mobile communications service provider, and identifying, by the processing system, a potential fraud ring, based on the maximal subgraph.
    Type: Grant
    Filed: May 8, 2020
    Date of Patent: October 18, 2022
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Edmond J. Abrahamian, Lauren Savage, Surya Murali, Ana Armenta
  • Publication number: 20220329328
    Abstract: A processing system may determine a plurality of input features of a first machine learning model that is deployed in a telecommunication network for a prediction task associated with an operation of the telecommunication network and apply a time series forecast model to a historical data set of a first data source associated with at least one of the plurality of input features to generate a forecast upper bound of a first characteristic of the first data source for a first time period and a forecast lower bound of the first characteristic of the first data source for the first time period. The processing system may then detect that the first characteristic exceeds one of the forecast upper bound or the forecast lower bound during the first time period and generate an alert that an output of the first machine learning model may be faulty, in response to the detecting.
    Type: Application
    Filed: April 8, 2021
    Publication date: October 13, 2022
    Inventors: Prince Paulraj, Ana Armenta, Lauren Savage
  • Publication number: 20220327326
    Abstract: An example method includes receiving data to be provided to an application using a scoring model for calculating a score, determining that the data is incompatible with a current feature set of the scoring model applied by the application, receiving a next best model of features in response to the determining that the data is incompatible with the current feature set, executing the application to calculate the score with the data and the features of the next best model, and generating an output in accordance with the score.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 13, 2022
    Inventors: Lauren Savage, Mark Austin, Prince Paulraj, Ana Armenta, James Pratt
  • Publication number: 20210383393
    Abstract: A processing system may obtain a customer identifier at a first retail location of a telecommunication network service provider, determine a recency factor of the identifier, obtain an identification of items of interest to the customer, and determine whether the customer has visited a second retail location of the provider within a time period prior to the customer being at the first retail location. The processing system may then apply, to a fraud detection machine learning model, a plurality of factors comprising: a quantity of items of interest, a value of the items, a factor associated with whether the customer has visited the second retail location within the time period, and the recency factor, where the fraud detection machine learning model outputs a fraud indicator value, determine that the fraud indicator value meets a warning threshold and present a warning to a device at the first retail location.
    Type: Application
    Filed: June 5, 2020
    Publication date: December 9, 2021
    Inventors: Edmond J. Abrahamian, Ana Armenta, James Pratt
  • Publication number: 20210352482
    Abstract: An example method performed by a processing system obtaining a first port-in number for a first mobile device from a first mobile communications service provider, wherein the first port-in number is known to be involved in fraudulent activity, constructing a social graph of communications between the first port-in number and a plurality of other numbers associated with a plurality of other communications devices, identifying, by the processing system, a maximal subgraph of the social graph, wherein the maximal subgraph connects the first port-in number and a subset of the plurality of other numbers that includes those of the plurality of other numbers for which a usage metric is below a predefined threshold for a defined period of time prior to the first port-in number being ported into the first mobile communications service provider, and identifying, by the processing system, a potential fraud ring, based on the maximal subgraph.
    Type: Application
    Filed: May 8, 2020
    Publication date: November 11, 2021
    Inventors: Edmond J. Abrahamian, Lauren Savage, Surya Murali, Ana Armenta
  • Publication number: 20160314213
    Abstract: The present invention refers to a method for characterizing a group of users, related among them by their mobile communication data, according to web navigation data. The method comprises: building a social graph from the mobile communication data of a user and his contacts; extracting web navigation data of each user of the social graph; associating to each edge linking two users of the social graph, web navigation data extracted for both two users; obtaining a measure of harmony based on comparing web navigation data of both two users; and providing a set of metrics for the group of users based on the measures of harmony, characterizing the group of users.
    Type: Application
    Filed: December 9, 2013
    Publication date: October 27, 2016
    Inventors: Ana Armenta Lopez de Vicuña, Arturo Canales Gonzalez, Rafael Pellón Gómez-Calcerrada, Patricia Calvo Carrasco, Susana Ferreras de la Fuente
  • Publication number: 20160307223
    Abstract: The invention relates to a method for determining a user profile in relation to certain web content, according to the user's browsing data. The method comprising the following steps: classifying the browsing data according to content categories; extracting a first set of variables from the user's web browsing data for each category; assigning the user a ranking position for each of the categories, and comparing the first set of variables with the same variables of other users; calculating at least one correction factor for the user's ranking position in each category according to one or more time variables extracted from the web browsing data; recalculating the user's ranking position for each category, taking into account the correction factor calculated for each category; and determining the user profile on the basis of the user's ranking position calculated for each category.
    Type: Application
    Filed: December 9, 2013
    Publication date: October 20, 2016
    Inventors: César García Gómez, Isabel María Izquierdo Martin, Ana Armenta Lopez de Vicuña
  • Publication number: 20140370844
    Abstract: The method comprises acquiring information from signals exchanged between a user's mobile computing devices and a plurality of Base Transceiver Stations, or BTSs, analyzing said acquired information for determining, over a period of time, the locations of said user's mobile computing device and deduce through a statistical model the points of interest, identifying and labelling at least part of said user's mobile computing device determined locations as points of interest.
    Type: Application
    Filed: January 8, 2013
    Publication date: December 18, 2014
    Applicant: TELEFONICA, S.A.
    Inventors: Ruben Lara, Rocio Martinez, Miguel Angel Rodriguez, Alberto Martin, Ana Armenta
  • Patent number: 8812324
    Abstract: The invention relates to a method for speech signal analysis, modification and synthesis comprising a phase for the location of analysis windows by means of an iterative process for the determination of the phase of the first sinusoidal component and comparison between the phase value of said component and a predetermined value, a phase for the selection of analysis frames corresponding to an allophone and readjustment of the duration and the fundamental frequency according to certain thresholds and a phase for the generation of synthetic speech from synthesis frames taking the information of the closest analysis frame as spectral information of the synthesis frame and taking as many synthesis frames as periods that the synthetic signal has. The method allows a coherent location of the analysis windows within the periods of the signal and the exact generation of the synthesis instants in a manner synchronous with the fundamental period.
    Type: Grant
    Filed: December 21, 2010
    Date of Patent: August 19, 2014
    Assignee: Telefonica, S.A.
    Inventors: Miguel Angel Rodriguez Crespo, Jose Gregorio Escalada Sardina, Ana Armenta Lopez de Vicuna