Patents by Inventor Kevin Barry Jordan

Kevin Barry Jordan 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).

  • HETEROGENEOUS SENSORS FOR NETWORK DEFENSE
    Publication number: 20150052609
    Abstract: Heterogeneous sensors simultaneously inspect network traffic for attacks. A signature-based sensor detects known attacks but has a blind spot, and a machine-learning based sensor that has been trained to detect attacks in the blind spot detects attacks that fail to conform to normal network traffic. False positive rates of the machine-learning based sensor are reduced by iterative testing using statistical techniques.
    Type: Application
    Filed: November 3, 2014
    Publication date: February 19, 2015
    Applicant: RESURGO, LLC
    Inventors: Eamon Hirata Jordan, Kevin Barry Jordan, Evan Joseph Kelly
  • Heterogeneous sensors for network defense
    Patent number: 8887285
    Abstract: Heterogeneous sensors simultaneously inspect network traffic for attacks. A signature-based sensor detects known attacks but has a blind spot, and a machine-learning based sensor that has been trained to detect attacks in the blind spot detects attacks that fail to conform to normal network traffic. False positive rates of the machine-learning based sensor are reduced by iterative testing using statistical techniques.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: November 11, 2014
    Assignee: Resurgo, LLC
    Inventors: Eamon Hirata Jordan, Evan Joseph Kelly, Kevin Barry Jordan
  • HETEROGENEOUS SENSORS FOR NETWORK DEFENSE
    Publication number: 20140283052
    Abstract: Heterogeneous sensors simultaneously inspect network traffic for attacks. A signature-based sensor detects known attacks but has a blind spot, and a machine-learning based sensor that has been trained to detect attacks in the blind spot detects attacks that fail to conform to normal network traffic. False positive rates of the machine-learning based sensor are reduced by iterative testing using statistical techniques.
    Type: Application
    Filed: March 14, 2013
    Publication date: September 18, 2014
    Inventors: Eamon Hirata Jordan, Evan Joseph Kelly, Kevin Barry Jordan