Patents by Inventor Jeffrey Markey

Jeffrey Markey 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).

  • Automated identification of higher-order behaviors in a machine-learning network security system
    Patent number: 11157834
    Abstract: In one example embodiment, a server compares derived values of a plurality of machine learning features with specified values of the plurality of machine learning features according to an ontology that defines a relationship between the plurality of machine learning features and a corresponding higher-order behavior for the specified values of the plurality of machine learning features. When the derived values of the plurality of machine learning features match the specified values of the plurality of machine learning features, the server aggregates the weights of the plurality of machine learning features to produce an aggregated weight. The server assigns the aggregated weight to the higher-order behavior so as to indicate a significance of the higher-order behavior in producing the machine learning result.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: October 26, 2021
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Timothy David Keanini, Jeffrey Markey, Jesse Craig-Goodell
  • AUTOMATED IDENTIFICATION OF HIGHER-ORDER BEHAVIORS IN A MACHINE-LEARNING NETWORK SECURITY SYSTEM
    Publication number: 20200019889
    Abstract: In one example embodiment, a server compares derived values of a plurality of machine learning features with specified values of the plurality of machine learning features according to an ontology that defines a relationship between the plurality of machine learning features and a corresponding higher-order behavior for the specified values of the plurality of machine learning features. When the derived values of the plurality of machine learning features match the specified values of the plurality of machine learning features, the server aggregates the weights of the plurality of machine learning features to produce an aggregated weight. The server assigns the aggregated weight to the higher-order behavior so as to indicate a significance of the higher-order behavior in producing the machine learning result.
    Type: Application
    Filed: July 10, 2018
    Publication date: January 16, 2020
    Inventors: Timothy David Keanini, Jeffrey Markey, Jesse Craig-Goodell
  • AUTOMATED NETWORK HOST GROUPING
    Publication number: 20190342173
    Abstract: In one example embodiment, a server obtains network flow metadata of a network flow of a host in a network. The server identifies one or more attributes of the network flow metadata. For each host group of a plurality of host groups, the server determines whether the one or more attributes of the network flow metadata satisfy one or more criteria for the host group. For each host group for which it is determined that the one or more attributes of the network flow metadata satisfy the one or more criteria, the server classifies the host as belonging to the host group.
    Type: Application
    Filed: May 2, 2018
    Publication date: November 7, 2019
    Inventors: Laurent Navarro, Jeffrey Markey, Matthew Robertson, Sunil Amin, Marc Dupont, Timothy Deeb-Swihart, II