Patents by Inventor Jonathan R. Kenney

Jonathan R. Kenney 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).

  • Detection of spoofing and meaconing for geolocation positioning system signals
    Patent number: 11500109
    Abstract: A computer architecture for geolocation spoofing/meaconing detection is disclosed. According to some aspects, a computer accesses an incoming geolocation positioning signal. The computer determines, using a signal characteristics calculation subsystem, geolocation positioning signal characteristics for the incoming geolocation positioning signal. The computer provides, using a geolocation positioning spoofing/meaconing detection subsystem, the geolocation positioning signal characteristics as an input vector to a neural network, wherein the neural network determines whether the incoming geolocation positioning signal is legitimate or fake. If the incoming geolocation positioning signal is determined to be fake: the computer computes, using a Bayesian inference subsystem, a likelihood and a severity of a geolocation positioning technology based attack. The computer provides, as a digital transmission, an indication of whether the incoming geolocation positioning signal is legitimate or fake.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: November 15, 2022
    Assignees: Raytheon Company, University of North Dakota
    Inventors: Naima Kaabouch, Mohsen Riahi Manesh, Jonathan R. Kenney
  • DETECTION OF SPOOFING AND MEACONING FOR GEOLOCATION POSITIONING SYSTEM SIGNALS
    Publication number: 20200225358
    Abstract: A computer architecture for geolocation spoofing/meaconing detection is disclosed. According to some aspects, a computer accesses an incoming geolocation positioning signal. The computer determines, using a signal characteristics calculation subsystem, geolocation positioning signal characteristics for the incoming geolocation positioning signal. The computer provides, using a geolocation positioning spoofing/meaconing detection subsystem, the geolocation positioning signal characteristics as an input vector to a neural network, wherein the neural network determines whether the incoming geolocation positioning signal is legitimate or fake. If the incoming geolocation positioning signal is determined to be fake: the computer computes, using a Bayesian inference subsystem, a likelihood and a severity of a geolocation positioning technology based attack. The computer provides, as a digital transmission, an indication of whether the incoming geolocation positioning signal is legitimate or fake.
    Type: Application
    Filed: March 28, 2019
    Publication date: July 16, 2020
    Inventors: Naima Kaabouch, Mohsen Riahi Manesh, Jonathan R. Kenney