Patents by Inventor Joanna Negrete

Joanna Negrete 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).

  • Publication number: 20210288976
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze network traffic for malicious activity. An example apparatus includes a graph generator to, in response to obtaining one or more internet protocol addresses included within input data, generate a graph data structure based on one or more features of the one or more internet protocol addresses in the input data, a file generator to generate a first matrix using the graph data structure, the first matrix to represent nodes in the graph data structure and generate a second matrix using the graph data structure, the second matrix to represent edges in the graph data structure, and a classifier to, using the first matrix and the second matrix, classify at least one of the one or more internet protocol addresses to identify a reputation of the at least one of the one or more internet protocol addresses.
    Type: Application
    Filed: March 13, 2020
    Publication date: September 16, 2021
    Inventors: Yonghong Huang, Armando Rodriguez, Adam Wosotowsky, John Wagener, Joanna Negrete, Eric Peterson, Celeste Fralick
  • Patent number: 11070572
    Abstract: Methods, apparatus, systems and articles of manufacture for producing generic Internet Protocol (IP) reputation through cross-protocol analysis are disclosed. An example apparatus includes a data collector to gather a first data set representing IP telemetry data for a first protocol, the data collector to gather a second data set representing IP telemetry data for a second protocol different from the first protocol. A label generator is to generate a training data set based on records in the first data set and the second data set having matching IP addresses, the training data set to include combined label indicating whether each of the respective matching IP addresses is malicious. A model trainer is to train a machine learning model using the training data set. A model executor is to, responsive to a request from a client device, execute the machine learning model to determine whether a requested IP address is malicious.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: July 20, 2021
    Assignee: McAfee, LLC
    Inventors: Adam Wosotowsky, Yonghong Huang, Eric Peterson, John Wagener, Joanna Negrete, Armando Rodriguez, Celeste Fralick, Sandeep Chandana
  • Publication number: 20210014247
    Abstract: Methods, apparatus, systems and articles of manufacture for producing generic Internet Protocol (IP) reputation through cross-protocol analysis are disclosed. An example apparatus includes a data collector to gather a first data set representing IP telemetry data for a first protocol, the data collector to gather a second data set representing IP telemetry data for a second protocol different from the first protocol. A label generator is to generate a training data set based on records in the first data set and the second data set having matching IP addresses, the training data set to include combined label indicating whether each of the respective matching IP addresses is malicious. A model trainer is to train a machine learning model using the training data set. A model executor is to, responsive to a request from a client device, execute the machine learning model to determine whether a requested IP address is malicious.
    Type: Application
    Filed: July 9, 2019
    Publication date: January 14, 2021
    Inventors: Adam Wosotowsky, Yonghong Huang, Eric Peterson, John Wagener, Joanna Negrete, Armando Rodriguez, Celeste Fralick, Sandeep Chandana