Patents by Inventor MATTHEW SLOAN THEODORE EVANS

MATTHEW SLOAN THEODORE EVANS 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).

  • Rule-based document scrubbing of sensitive data
    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
  • RULE-BASED DOCUMENT SCRUBBING OF SENSITIVE DATA
    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
  • Rule-based document scrubbing of sensitive data
    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
  • Obfuscation and deletion of personal data in a loosely-coupled distributed system
    Patent number: 11157652
    Abstract: A real-time event processing system receives event data containing telemetric data and one or more personal identifiers. The personal identifier in the event data is replaced with an obfuscated value so that the telemetric data may be used without reference to the personal identifier. A reversible map is used to reverse the obfuscated personal identifier to its original value. In the case when a request is received to delete the mapped personal identifier, the link to the entry in the reversible map is broken by associating the personal identifier with a different obfuscated value.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: October 26, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: Shibani Basava, Dinesh Chandnani, Zhu Chen, Ram Kumar Donthula, Matthew Sloan Theodore Evans, Siwei Li, George Joshua Michaels, Andrew Christopher Neil, Geoffrey Staneff, Evgenia Steshenko, Vijay Upadya, Shengyu Fu
  • RULE-BASED DOCUMENT SCRUBBING OF SENSITIVE DATA
    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
  • OBFUSCATION AND DELETION OF PERSONAL DATA IN A LOOSELY-COUPLED DISTRIBUTED SYSTEM
    Publication number: 20190354716
    Abstract: A real-time event processing system receives event data containing telemetric data and one or more personal identifiers. The personal identifier in the event data is replaced with an obfuscated value so that the telemetric data may be used without reference to the personal identifier. A reversible map is used to reverse the obfuscated personal identifier to its original value. In the case when a request is received to delete the mapped personal identifier, the link to the entry in the reversible map is broken by associating the personal identifier with a different obfuscated value.
    Type: Application
    Filed: December 10, 2018
    Publication date: November 21, 2019
    Inventors: SHIBANI BASAVA, DINESH CHANDNANI, ZHU CHEN, RAM KUMAR DONTHULA, MATTHEW SLOAN THEODORE EVANS, SIWEI LI, GEORGE JOSHUA MICHAELS, ANDREW CHRISTOPHER NEIL, GEOFFREY STANEFF, EVGENIA STESHENKO, VIJAY UPADYA, SHENGYU FU
  • IDENTIFICATION OF SENSITIVE DATA USING MACHINE LEARNING
    Publication number: 20190354718
    Abstract: An offline batch processing system classifies sensitive data contained in consumer data, such as telemetric data, using a manual classification process and a machine learning model. The machine learning model is used to recheck the policy settings used in the manual classification process and to learn relationships between the features in the consumer data in order to identify sensitive data. The identified sensitive data is then scrubbed so that the remaining data may be used.
    Type: Application
    Filed: May 15, 2019
    Publication date: November 21, 2019
    Inventors: DINESH CHANDNANI, MATTHEW SLOAN THEODORE EVANS, SHENGYU FU, GEOFFREY STANEFF, EVGENIA STESHENKO, NEELAKANTAN SUNDARESAN, CENZHUO YAO, SHAUN MILLER