Patents by Inventor Jeremy Cunningham

Jeremy Cunningham 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).

  • Detection of anomalous computer behavior
    Patent number: 11321214
    Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: May 3, 2022
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
  • Detection of anomalous computer behavior
    Patent number: 11310253
    Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: April 19, 2022
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
  • Detection of anomalous computer behavior
    Patent number: 10824535
    Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: November 3, 2020
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
  • Detection of anomalous computer behavior
    Patent number: 10652257
    Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.
    Type: Grant
    Filed: July 7, 2017
    Date of Patent: May 12, 2020
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen
  • Detection of anomalous computer behavior
    Patent number: 10248533
    Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.
    Type: Grant
    Filed: July 7, 2017
    Date of Patent: April 2, 2019
    Assignee: State Farm Mutual Automobile Insurance Company
    Inventors: Rajiv Shah, Shannon Morrison, Jeremy Cunningham, Taylor Smith, Sripriya Sundararaman, Jing Wan, Jeffrey Hevrin, Ronald Duehr, Brad Sliz, Lucas Allen