Patents by Inventor Dalwinderjeet Kular Grewal

Dalwinderjeet Kular Grewal 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: 11924245
    Abstract: An email phishing detection mechanism is provided that utilizes machine learning algorithms. The machine learning algorithms are trained on phishing and non-phishing features extracted from a variety of data sets. Embodiments extract embedded URL-based and email body text-based feature sets for training and testing the machine learning algorithms. Embodiments determine the presence of a phishing message through a combination of examining an embedded URL and the body text of the message for the learned feature sets.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: March 5, 2024
    Assignee: Forcepoint LLC
    Inventors: Dalwinderjeet Kular Grewal, Kurt Natvig
  • Patent number: 11570197
    Abstract: A system, method, and computer-readable medium are disclosed for performing a security risk modeling operation. The security risk modeling operation includes: monitoring an entity, the monitoring observing an electronically-observable data source; deriving an observable based upon the monitoring of the electronically-observable data source; identifying a security related activity, the security related activity being based upon the observable from the electronic data source; analyzing the security related activity, the analyzing the security related activity using a human-centric risk modeling framework; and, performing a security operation in response to the analyzing the security related activity.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: January 31, 2023
    Assignee: Forcepoint LLC
    Inventors: Margaret Cunningham, Clifford Charles Wright, Dalwinderjeet Kular Grewal
  • Publication number: 20220210188
    Abstract: An email phishing detection mechanism is provided that utilizes machine learning algorithms. The machine learning algorithms are trained on phishing and non-phishing features extracted from a variety of data sets. Embodiments extract embedded URL-based and email body text-based feature sets for training and testing the machine learning algorithms. Embodiments determine the presence of a phishing message through a combination of examining an embedded URL and the body text of the message for the learned feature sets.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Applicant: Forcepoint, LLC
    Inventors: Dalwinderjeet Kular Grewal, Kurt Natvig
  • Publication number: 20210226983
    Abstract: A system, method, and computer-readable medium are disclosed for performing a security risk modeling operation. The security risk modeling operation includes: monitoring an entity, the monitoring observing an electronically-observable data source; deriving an observable based upon the monitoring of the electronically-observable data source; identifying a security related activity, the security related activity being based upon the observable from the electronic data source; analyzing the security related activity, the analyzing the security related activity using a human-centric risk modeling framework; and, performing a security operation in response to the analyzing the security related activity.
    Type: Application
    Filed: April 30, 2020
    Publication date: July 22, 2021
    Inventors: Margaret Cunningham, Clifford Charles Wright, Dalwinderjeet Kular Grewal