Patents by Inventor Liyi Dai

Liyi Dai 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 identification of quantum vulnerable cryptography
    Patent number: 12701131
    Abstract: Systems, devices, methods, and computer-readable media provide automatic detection of cryptographic algorithms susceptible to compromise by a quantum computer. A method includes receiving, by a trained machine learning (ML) model, a file; executing the trained ML model on the file to generate an output, the output indicating, for each cryptography algorithm of a plurality of cryptography algorithms that are susceptible to compromise by a quantum computer, whether the cryptography algorithm is embodied in or used by the file. Responsive to determining at least one of the cryptography algorithms is embodied or used in the file, performing a mitigation action that reduces or eliminates a vulnerability of the file to compromise by a quantum computer.
    Type: Grant
    Filed: July 19, 2024
    Date of Patent: August 4, 2026
    Assignee: Raytheon Company
    Inventors: Liyi Dai, Brian Rosenberg
  • MACHINE LEARNING IDENTIFICATION OF QUANTUM VULNERABLE CRYPTOGRAPHY
    Publication number: 20260075075
    Abstract: Systems, devices, methods, and computer-readable media provide automatic detection of cryptographic algorithms susceptible to compromise by a quantum computer. A method includes receiving, by a trained machine learning (ML) model, a file; executing the trained ML model on the file to generate an output, the output indicating, for each cryptography algorithm of a plurality of cryptography algorithms that are susceptible to compromise by a quantum computer, whether the cryptography algorithm is embodied in or used by the file. Responsive to determining at least one of the cryptography algorithms is embodied or used in the file, performing a mitigation action that reduces or eliminates a vulnerability of the file to compromise by a quantum computer.
    Type: Application
    Filed: July 19, 2024
    Publication date: March 12, 2026
    Inventors: Liyi Dai, Brian Rosenberg
  • Threat assessment of unmanned aerial systems using machine learning
    Patent number: 11521128
    Abstract: A method includes obtaining multiple data items from multiple heterogeneous data sources, where the multiple data items relate to an unmanned aerial system (UAS) flying in an area. The method also includes processing the multiple data items using a machine learning algorithm to determine a threat level of the UAS to one or more targets in the area. The method further includes outputting the threat level of the UAS for review by a user.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: December 6, 2022
    Assignee: Raytheon Company
    Inventors: Richard A. Moro, Jr., Erik D. Johnson, Liyi Dai, David W. Payne
  • THREAT ASSESSMENT OF UNMANNED AERIAL SYSTEMS USING MACHINE LEARNING
    Publication number: 20210383270
    Abstract: A method includes obtaining multiple data items from multiple heterogeneous data sources, where the multiple data items relate to an unmanned aerial system (UAS) flying in an area. The method also includes processing the multiple data items using a machine learning algorithm to determine a threat level of the UAS to one or more targets in the area. The method further includes outputting the threat level of the UAS for review by a user.
    Type: Application
    Filed: June 8, 2020
    Publication date: December 9, 2021
    Inventors: Richard A. Moro, JR., Erik D. Johnson, Liyi Dai, David W. Payne