Patents by Inventor Taras Yatskiv

Taras Yatskiv 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).

  • System and method for automated network monitoring and detection of network anomalies
    Patent number: 10404732
    Abstract: A system and method for unsupervised detection of system anomalies in a network, including one or more network elements, a flow collector configured to collect instances of network data from the one or more network elements, a historical dataset database configured to store the instances of network data, a historical dataset pattern extractor configured to analyze the instances of network data and produce a historical behavioral pattern for each of the instances of network data, and a flow stream processor configured to analyze instances of network data in real time, produce a current behavioral pattern for each of the instances of network data, compare the current behavioral pattern to a corresponding historical behavioral pattern, and detect an anomaly based on the comparison between the current behavioral pattern and the corresponding historical behavioral pattern.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: September 3, 2019
    Assignee: SDN Systems, LLC
    Inventors: Mark Munro, Konstantin Babenko, Taras Yatskiv, Alexander Makeev
  • SYSTEM AND METHOD FOR AUTOMATED NETWORK MONITORING AND DETECTION OF NETWORK ANOMALIES
    Publication number: 20180020015
    Abstract: A system and method for unsupervised detection of system anomalies in a network, including one or more network elements, a flow collector configured to collect instances of network data from the one or more network elements, a historical dataset database configured to store the instances of network data, a historical dataset pattern extractor configured to analyze the instances of network data and produce a historical behavioral pattern for each of the instances of network data, and a flow stream processor configured to analyze instances of network data in real time, produce a current behavioral pattern for each of the instances of network data, compare the current behavioral pattern to a corresponding historical behavioral pattern, and detect an anomaly based on the comparison between the current behavioral pattern and the corresponding historical behavioral pattern.
    Type: Application
    Filed: June 14, 2017
    Publication date: January 18, 2018
    Inventors: Mark Munro, Konstantin Babenko, Taras Yatskiv, Alexander Makeev