Patents by Inventor David Domico

David Domico 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).

  • Machine learning fingerprinting of wireless signals and related systems, methods, and computer-readable media
    Patent number: 12189742
    Abstract: The present disclosure is directed toward systems and methods for fingerprinting wireless communications using few-shot learning techniques. The systems and methods relate to storing fingerprint data indicating device fingerprint features detected for a plurality of identified transmitting devices in a database. The methods further relate to receiving, at a communication device, wireless communications from an unidentified transmitting device. Additionally, the systems and methods illustrate determining a device fingerprint responsive to a portion of each of the wireless communications using few-shot learning techniques and comparing the determined device fingerprint to the stored fingerprint data in the database.
    Type: Grant
    Filed: February 7, 2022
    Date of Patent: January 7, 2025
    Assignee: Northrup Grumman Systems Corporation
    Inventors: Benjamin C. Gookin, David Domico, Justin Kopacz, Matthew D. Popovich, Michelle Jin, Nathanael M. Harmon
  • MACHINE LEARNING FINGERPRINTING OF WIRELESS SIGNALS AND RELATED SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA
    Publication number: 20230252118
    Abstract: The present disclosure is directed toward systems and methods for fingerprinting wireless communications using few-shot learning techniques. The systems and methods relate to storing fingerprint data indicating device fingerprint features detected for a plurality of identified transmitting devices in a database. The methods further relate to receiving, at a communication device, wireless communications from an unidentified transmitting device. Additionally, the systems and methods illustrate determining a device fingerprint responsive to a portion of each of the wireless communications using few-shot learning techniques and comparing the determined device fingerprint to the stored fingerprint data in the database.
    Type: Application
    Filed: February 7, 2022
    Publication date: August 10, 2023
    Inventors: Benjamin C. Gookin, David Domico, Justin Kopacz, Matthew D. Popovich, Michelle Jin, Nathanael M. Harmon