Patents by Inventor John Walter MORRIS

John Walter MORRIS 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).

  • Artificially intelligent security incident and event management
    Patent number: 11665180
    Abstract: Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: May 30, 2023
    Assignee: International Business Machines Corporation
    Inventors: Jeb R. Linton, Darrel Haswell, Satya Sreenivas, Naeem Altaf, Sanjay Nadhavajhala, Ron Williams, Bradley Evan Harris, John Walter Morris
  • ARTIFICIALLY INTELLIGENT SECURITY INCIDENT AND EVENT MANAGEMENT
    Publication number: 20210273954
    Abstract: Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.
    Type: Application
    Filed: February 28, 2020
    Publication date: September 2, 2021
    Inventors: Jeb R. LINTON, Darrel HASWELL, Satya SREENIVAS, Naeem ALTAF, Sanjay NADHAVAJHALA, Ron WILLIAMS, Bradley Evan HARRIS, John Walter MORRIS