Patents by Inventor Zvika Plotkin

Zvika Plotkin 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).

  • DEVICE CLASSIFICATION USING MACHINE LEARNING MODELS
    Publication number: 20250219953
    Abstract: A system is configured to obtain data associated with a first device, based on network traffic. The system determines a first classification for the first device based on the data, including to determine that a first confidence level that is associated with the first classification satisfies a first threshold. In response to the first confidence level satisfying the first threshold, the system selects at least a last model from a plurality of machine learning models based on the first classification. The system determine a last classification for the first device based on the last model, including determining that a last confidence level that is associated with the last classification satisfies a last threshold. The system stores at least one of the first classification and the last classification.
    Type: Application
    Filed: March 21, 2025
    Publication date: July 3, 2025
    Inventors: Itai Koren, Zvika Plotkin
  • Device classification using machine learning models
    Patent number: 12289241
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Grant
    Filed: May 4, 2023
    Date of Patent: April 29, 2025
    Assignee: Forescout Technologies, Inc.
    Inventors: Itai Koren, Zvika Plotkin
  • DEVICE CLASSIFICATION USING MACHINE LEARNING MODELS
    Publication number: 20230283561
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Application
    Filed: May 4, 2023
    Publication date: September 7, 2023
    Inventors: Itai Koren, Zvika Plotkin
  • Device classification using machine learning models
    Patent number: 11689468
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: June 27, 2023
    Assignee: FORESCOUT TECHNOLOGIES, INC.
    Inventors: Itai Koren, Zvika Plotkin
  • DEVICE CLASSIFICATION USING MACHINE LEARNING MODELS
    Publication number: 20220210079
    Abstract: Systems, methods, and related technologies for classification are described. Network traffic transmitted by a first device is obtained. A set of features is determined based on the network traffic. A first classification for the device is determine a first classification for the first device based on the set of features. The first classification is associated with a first classification level. A second machine learning model is identified based on the first classification. The second machine learning model is associated with the first classification. A second classification for the first device is determined based on the second machine learning model. The second classification is associated with a second classification level. At least one of the first classification and the second classification is stored.
    Type: Application
    Filed: December 31, 2020
    Publication date: June 30, 2022
    Inventors: Itai Koren, Zvika Plotkin