Patents by Inventor Brian Boon

Brian Boon 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).

  • Patent number: 11775684
    Abstract: A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.
    Type: Grant
    Filed: August 16, 2022
    Date of Patent: October 3, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Brian Boon, Dinesh Chandnani, Zhu Chen, Ram Kumar Donthula, Matthew Sloan Theodore Evans, Andrew Neil, Vijaya Upadya, Geoffrey Staneff, Shibani Basava, Evgenia Steshenko, Carl Brochu, Shaun Miller, Xin Shi
  • Publication number: 20220391538
    Abstract: A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.
    Type: Application
    Filed: August 16, 2022
    Publication date: December 8, 2022
    Inventors: BRIAN BOON, DINESH CHANDNANI, ZHU CHEN, RAM KUMAR DONTHULA, MATTHEW SLOAN THEODORE EVANS, ANDREW NEIL, VIJAYA UPADYA, GEOFFREY STANEFF, SHIBANI BASAVA, EVGENIA STESHENKO, CARL BROCHU, SHAUN MILLER, XIN SHI
  • Patent number: 11449635
    Abstract: A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: September 20, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Brian Boon, Dinesh Chandnani, Zhu Chen, Ram Kumar Donthula, Matthew Sloan Theodore Evans, Andrew Neil, Vijaya Upadya, Geoffrey Staneff, Shibani Basava, Evgenia Steshenko, Carl Brochu, Shaun Miller, Xin Shi
  • Publication number: 20190354717
    Abstract: A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.
    Type: Application
    Filed: May 9, 2019
    Publication date: November 21, 2019
    Inventors: BRIAN BOON, DINESH CHANDNANI, ZHU CHEN, RAM KUMAR DONTHULA, MATTHEW SLOAN THEODORE EVANS, ANDREW NEIL, VIJAYA UPADYA, GEOFFREY STANEFF, SHIBANI BASAVA, EVGENIA STESHENKO, CARL BROCHU, SHAUN MILLER, XIN SHI
  • Patent number: 7653731
    Abstract: Embodiments of present application treat Connection Information Files contained in an instance of an application, such as a workbook, as independent objects and multiple data objects, such as data summary tables, may link to one Connection Information File. Maintaining Connection Information Files as independent objects within an instance of an application provides the ability to modify a connection to an external data source and have that modification applied to all linked data objects without having to modify each data object individually. Additionally, a user may view a complete list of all Connection Information Files that exist within a workbook and easily add, delete, or modify those Connection Information Files.
    Type: Grant
    Filed: February 24, 2006
    Date of Patent: January 26, 2010
    Assignee: Microsoft Corporation
    Inventors: Alexander Martynov, Brian Boon, Howard J Dickerman, Patrick J King
  • Publication number: 20070204019
    Abstract: Embodiments of present application treat Connection Information Files contained in an instance of an application, such as a workbook, as independent objects and multiple data objects, such as data summary tables, may link to one Connection Information File. Maintaining Connection Information Files as independent objects within an instance of an application provides the ability to modify a connection to an external data source and have that modification applied to all linked data objects without having to modify each data object individually. Additionally, a user may view a complete list of all Connection Information Files that exist within a workbook and easily add, delete, or modify those Connection Information Files.
    Type: Application
    Filed: February 24, 2006
    Publication date: August 30, 2007
    Applicant: Microsoft Corporation
    Inventors: Alexander Martynov, Brian Boon, Howard Dickerman, Patrick King
  • Publication number: 20070088691
    Abstract: Cube functions may be used to obtain data from a multidimensional database. The cube functions may be contained within one or more cells of a spreadsheet. These cube functions behave similarly to the standard functions that may be included within a spreadsheet. Exemplary cube functions include obtaining: a cube member, a cube value, a cube set, a ranked member, a KPI, a member property and a count relating to a set. The cube functions within the spreadsheet may access the cube data from one or more multidimensional databases. Using the cube formulas in individual cells allows the user to add/delete rows and/or columns from within the spreadsheet.
    Type: Application
    Filed: October 14, 2005
    Publication date: April 19, 2007
    Applicant: Microsoft Corporation
    Inventors: Howard Dickerman, Brian Boon, Charles Ellis, Kaicheng Hu, Robert Hawking