Patents by Inventor Jakob Kressel

Jakob Kressel 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).

  • Systems and methods of detecting email-based attacks through machine learning
    Patent number: 11948379
    Abstract: A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: April 2, 2024
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Christopher Bayan Bruss, Stephen Fletcher, Lei Yu, Jakob Kressel
  • SYSTEMS AND METHODS OF DETECTING EMAIL-BASED ATTACKS THROUGH MACHINE LEARNING
    Publication number: 20210112095
    Abstract: A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
    Type: Application
    Filed: October 12, 2020
    Publication date: April 15, 2021
    Inventors: Christopher Bayan Bruss, Stephen Fletcher, Lei Yu, Jakob Kressel
  • Systems and methods of detecting email-based attacks through machine learning
    Patent number: 10805347
    Abstract: A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: October 13, 2020
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Christopher Bayan Bruss, Stephen Fletcher, Lei Yu, Jakob Kressel
  • SYSTEMS AND METHODS OF DETECTING EMAIL-BASED ATTACKS THROUGH MACHINE LEARNING
    Publication number: 20190349400
    Abstract: A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
    Type: Application
    Filed: July 10, 2019
    Publication date: November 14, 2019
    Inventors: Christopher Bayan Bruss, Stephen Fletcher, Lei Yu, Jakob Kressel
  • Systems and methods of detecting email-based attacks through machine learning
    Patent number: 10397272
    Abstract: A system including at least one processor; and at least one memory having stored thereon computer program code that, when executed by the at least one processor, controls the at least one processor to: receive an email addressed to a user; separate the email into a plurality of email components; analyze, using respective machine-learning techniques, each of the plurality of email components; feed the analysis of each of the plurality of email components into a stacked ensemble analyzer; and based on an output of the stacked ensemble analyzer, determine whether the email is malicious.
    Type: Grant
    Filed: October 23, 2018
    Date of Patent: August 27, 2019
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Christopher Bayan Bruss, Stephen Fletcher, Lei Yu, Jakob Kressel