Patents by Inventor Or Navri

Or Navri 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).

  • Combining static and dynamic models for classifying transactions
    Patent number: 11005861
    Abstract: A method includes generating a static model for classifying transactions of a designated type, the static model being trained using predefined input data corresponding to a first set of features generic to transactions of the designated type, and generating a dynamic model for classifying transactions of the designated type, the dynamic model being trained using dynamic input data corresponding to a second set of features specific to subsets of transactions of the designated type. The method also includes combining the static and dynamic models to generate a combined model, detecting transactions of the designated type between client devices and an enterprise system, and utilizing the combined model to classify a given detected transaction between a given client device and the enterprise system as potentially malicious or benign. The method further includes modifying processing of the given detected transaction responsive to classifying the given detected transaction as potentially malicious.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: May 11, 2021
    Assignee: EMC IP Holding Company LLC
    Inventors: Idan Achituve, Maya Herskovic, Liat Ben-Porat, Tal Aboudy, Or Navri
  • COMBINING STATIC AND DYNAMIC MODELS FOR CLASSIFYING TRANSACTIONS
    Publication number: 20200195663
    Abstract: A method includes generating a static model for classifying transactions of a designated type, the static model being trained using predefined input data corresponding to a first set of features generic to transactions of the designated type, and generating a dynamic model for classifying transactions of the designated type, the dynamic model being trained using dynamic input data corresponding to a second set of features specific to subsets of transactions of the designated type. The method also includes combining the static and dynamic models to generate a combined model, detecting transactions of the designated type between client devices and an enterprise system, and utilizing the combined model to classify a given detected transaction between a given client device and the enterprise system as potentially malicious or benign. The method further includes modifying processing of the given detected transaction responsive to classifying the given detected transaction as potentially malicious.
    Type: Application
    Filed: December 18, 2018
    Publication date: June 18, 2020
    Inventors: Idan Achituve, Maya Herskovic, Liat Ben-Porat, Tal Aboudy, Or Navri