Patents by Inventor Jerry Xin Ye

Jerry Xin Ye 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).

  • ENRICHED FLOW DATA FOR NETWORK ANALYTICS
    Publication number: 20220070065
    Abstract: Systems and methods provide for enriching flow data to analyze network security, availability, and compliance. A network analytics system can capture flow data and metadata from network elements. The network analytics system can enrich the flow data by in-line association of the flow data and metadata. The network analytics system can generate multiple planes with each plane representing a dimension of enriched flow data. The network analytics system can generate nodes for the planes with each node representing a unique value or set of values for the dimensions represented by planes. The network analytics system can generate edges for the nodes of the planes with each edge representing a flow between endpoints corresponding to the nodes. The network analytics system can update the planes in response to an interaction with the planes or in response to a query.
    Type: Application
    Filed: October 12, 2021
    Publication date: March 3, 2022
    Inventors: Matthew Lawson Finn, II, Alok Lalit Wadhwa, Navindra Yadav, Jerry Xin Ye, Supreeth Rao, Prasannakumar Jobigenahally Malleshaiah, Tapan Shrikrishna Patwardhan, Umamaheswaran Arumugam, Aiyesha Ma, Darshan Shrinath Purandare
  • Enriched flow data for network analytics
    Patent number: 11159386
    Abstract: Systems and methods provide for enriching flow data to analyze network security, availability, and compliance. A network analytics system can capture flow data and metadata from network elements. The network analytics system can enrich the flow data by in-line association of the flow data and metadata. The network analytics system can generate multiple planes with each plane representing a dimension of enriched flow data. The network analytics system can generate nodes for the planes with each node representing a unique value or set of values for the dimensions represented by planes. The network analytics system can generate edges for the nodes of the planes with each edge representing a flow between endpoints corresponding to the nodes. The network analytics system can update the planes in response to an interaction with the planes or in response to a query.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: October 26, 2021
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Matthew Lawson Finn, II, Alok Lalit Wadhwa, Navindra Yadav, Jerry Xin Ye, Supreeth Rao, Prasannakumar Jobigenahally Malleshaiah, Tapan Shrikrishna Patwardhan, Umamaheswaran Arumugam, Aiyesha Ma, Darshan Shrinath Purandare
  • ENRICHED FLOW DATA FOR NETWORK ANALYTICS
    Publication number: 20200296007
    Abstract: Systems and methods provide for enriching flow data to analyze network security, availability, and compliance. A network analytics system can capture flow data and metadata from network elements. The network analytics system can enrich the flow data by in-line association of the flow data and metadata. The network analytics system can generate multiple planes with each plane representing a dimension of enriched flow data. The network analytics system can generate nodes for the planes with each node representing a unique value or set of values for the dimensions represented by planes. The network analytics system can generate edges for the nodes of the planes with each edge representing a flow between endpoints corresponding to the nodes. The network analytics system can update the planes in response to an interaction with the planes or in response to a query.
    Type: Application
    Filed: March 14, 2019
    Publication date: September 17, 2020
    Inventors: Matthew Lawson Finn, II, Alok Lalit Wadhwa, Navindra Yadav, Jerry Xin Ye, Supreeth Rao, Prasannakumar Jobigenahally Malleshaiah, Tapan Shrikrishna Patwardhan, Umamaheswaran Arumugam, Aiyesha Ma, Darshan Shrinath Purandare