Patents by Inventor Paul Christopher TEIBER

Paul Christopher TEIBER 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).

  • Determining associations between services and computing assets based on alias term identification
    Patent number: 11687598
    Abstract: The disclosure herein describes determining computing assets associated with a service. Metadata from one or more computing assets of a computing system is collected. One or more alias terms are identified in the collected metadata of the one or more computing assets, wherein the alias terms are associated with the service. Service association scores are generated for the one or more computing assets based on the identified one or more alias terms and a term-score mapping. Each service association score indicates a likelihood that a computing asset is used for a service. A subset of computing assets of the one or more computing assets is identified. The subset of computing assets includes computing assets with service association scores that exceed a service association threshold. Computing assets of the service are identified based on the identified subset, thereby reducing the need for manual identification of asset-service associations.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: June 27, 2023
    Assignee: MASTERCARD INTERNATIONAL INCORPORATED
    Inventors: Steven Earhart, Leila Hassan, James J. Arnott, Paul Christopher Teiber
  • DETERMINING ASSOCIATIONS BETWEEN SERVICES AND COMPUTING ASSETS BASED ON ALIAS TERM IDENTIFICATION
    Publication number: 20210200819
    Abstract: The disclosure herein describes determining computing assets associated with a service. Metadata from one or more computing assets of a computing system is collected. One or more alias terms are identified in the collected metadata of the one or more computing assets, wherein the alias terms are associated with the service. Service association scores are generated for the one or more computing assets based on the identified one or more alias terms and a term-score mapping. Each service association score indicates a likelihood that a computing asset is used for a service. A subset of computing assets of the one or more computing assets is identified. The subset of computing assets includes computing assets with service association scores that exceed a service association threshold. Computing assets of the service are identified based on the identified subset, thereby reducing the need for manual identification of asset-service associations.
    Type: Application
    Filed: December 30, 2019
    Publication date: July 1, 2021
    Inventors: Steven EARHART, Leila HASSAN, James J. ARNOTT, Paul Christopher TEIBER