Patents by Inventor Jonathan Lee Harrod

Jonathan Lee Harrod 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).

  • Methods, systems, and computer readable media for utilizing machine learning to automatically configure filters at a network packet broker
    Patent number: 11949570
    Abstract: A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.
    Type: Grant
    Filed: July 30, 2021
    Date of Patent: April 2, 2024
    Assignee: KEYSIGHT TECHNOLOGIES, INC.
    Inventors: Shardendu Pandey, Stefan Jan Johansson, Jeffrey L. Pochop, Jr., Jonathan Lee Harrod
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR SELECTIVELY PROCESSING A PACKET FLOW USING A FLOW INSPECTION ENGINE
    Publication number: 20230300045
    Abstract: A method for selectively processing a packet flow using a flow inspection engine is disclosed. The method includes receiving, by at least one hardware data plane processor component in a network packet broker, a plurality of packets associated with a packet flow, and forwarding, by the at least one hardware data plane processor component to at least one flow inspection engine, a copy of at least a portion of one or more of the initial packets of the packet flow.
    Type: Application
    Filed: March 15, 2022
    Publication date: September 21, 2023
    Inventors: Jonathan Lee Harrod, Shardendu Pandey, Jonathan Glenn Stroud, Stefan Jan Johansson
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR UTILIZING MACHINE LEARNING TO AUTOMATICALLY CONFIGURE FILTERS AT A NETWORK PACKET BROKER
    Publication number: 20230031654
    Abstract: A method for network flow metadata processing at a network packet broker is described herein. The method includes, receiving, as input at a network packet broker, network traffic flow data, aggregating the network traffic flow data over a predefined time period to generate Internet protocol (IP) flow feature vectors containing metadata parameters associated with one or more particular endpoint devices, and providing the IP flow feature vectors to a machine learning element in the network packet broker. The method further includes identifying, by the machine learning element, anomalies existing in the metadata parameters included in the IP flow feature vectors, and automatically configuring one or more filter elements in the network packet broker in response to detecting the identified anomalies of the IP flow feature vectors.
    Type: Application
    Filed: July 30, 2021
    Publication date: February 2, 2023
    Inventors: Shardendu Pandey, Stefan Jan Johansson, Jeffrey L. Pochop, JR., Jonathan Lee Harrod