Patents by Inventor Gyana Ranjan Dash

Gyana Ranjan Dash 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: 11170319
    Abstract: In one embodiment, a computing device scans a plurality of available data sources associated with a profiled identity for an individual, and categorizes instances of the data sources according to recognized terms within the data sources. Once determining whether the profiled identity contributed positively to each categorized instance, categorized instances that have a positive contribution by the profiled identity may be clustered into clusters. The computing device may then rank the clusters based on size of the clusters and frequency of recognized terms within the clusters, and can then infer an expertise of the profiled identity based on one or more best-ranked clusters. The inferred expertise of the profiled identity may then be stored.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: November 9, 2021
    Assignee: Cisco Technology, Inc.
    Inventors: Sujit Biswas, Milind Naphade, Manjula Shivanna, Gyana Ranjan Dash, Srinivas Ruddaraju, Carlos M. Pignataro
  • Publication number: 20210150060
    Abstract: In one example embodiment, a server that is in communication with a network that includes a plurality of network elements obtains, from the network, a service request record that includes sensitive information related to at least one of the plurality of network elements. The server parses the service request record to determine that the service request record includes a sequence of characters that is repeated in the service request record, and tags the sequence of characters as a particular sensitive information type. Based on the tagging, the server identically replaces the sequence of characters so as to preserve an internal consistency of the service request record. After identically replacing the sequence of characters, the server publishes the service request record for analysis without revealing the sequence of characters.
    Type: Application
    Filed: February 1, 2021
    Publication date: May 20, 2021
    Inventors: Gyana Ranjan Dash, Antonio Nucci, Donald Mark Allen, Kabeer Noorudeen, Tatiana Alexandrovna Gaponova, Konstantin Grechishchev
  • Patent number: 10963590
    Abstract: In one example embodiment, a server that is in communication with a network that includes a plurality of network elements obtains, from the network, a service request record that includes sensitive information related to at least one of the plurality of network elements. The server parses the service request record to determine that the service request record includes a sequence of characters that is repeated in the service request record, and tags the sequence of characters as a particular sensitive information type. Based on the tagging, the server identically replaces the sequence of characters so as to preserve an internal consistency of the service request record. After identically replacing the sequence of characters, the server publishes the service request record for analysis without revealing the sequence of characters.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: March 30, 2021
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Gyana Ranjan Dash, Antonio Nucci, Donald Mark Allen, Kabeer Noorudeen, Tatiana Alexandrovna Gaponova, Konstantin Grechishchev
  • Patent number: 10771488
    Abstract: In one embodiment, a device receives sensor data from a plurality of nodes in a computer network. The device uses the sensor data and a graph that represents a topology of the nodes in the network as input to a graph convolutional neural network. The device provides an output of the graph convolutional neural network as input to a convolutional long short-term memory recurrent neural network. The device detects an anomaly in the computer network by comparing a reconstruction error associated with an output of the convolutional long short-term memory recurrent neural network to a defined threshold. The device initiates a mitigation action in the computer network for the detected anomaly.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: September 8, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Saurabh Verma, Manjula Shivanna, Gyana Ranjan Dash, Antonio Nucci
  • Publication number: 20190312898
    Abstract: In one embodiment, a device receives sensor data from a plurality of nodes in a computer network. The device uses the sensor data and a graph that represents a topology of the nodes in the network as input to a graph convolutional neural network. The device provides an output of the graph convolutional neural network as input to a convolutional long short-term memory recurrent neural network. The device detects an anomaly in the computer network by comparing a reconstruction error associated with an output of the convolutional long short-term memory recurrent neural network to a defined threshold. The device initiates a mitigation action in the computer network for the detected anomaly.
    Type: Application
    Filed: April 10, 2018
    Publication date: October 10, 2019
    Inventors: Saurabh Verma, Manjula Shivanna, Gyana Ranjan Dash, Antonio Nucci
  • Publication number: 20180314956
    Abstract: In one embodiment, a computing device scans a plurality of available data sources associated with a profiled identity for an individual, and categorizes instances of the data sources according to recognized terms within the data sources. Once determining whether the profiled identity contributed positively to each categorized instance, categorized instances that have a positive contribution by the profiled identity may be clustered into clusters. The computing device may then rank the clusters based on size of the clusters and frequency of recognized terms within the clusters, and can then infer an expertise of the profiled identity based on one or more best-ranked clusters. The inferred expertise of the profiled identity may then be stored.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Applicant: Cisco Technology, Inc.
    Inventors: Sujit Biswas, Milind Naphade, Manjula Shivanna, Gyana Ranjan Dash, Srinivas Ruddaraju, Carlos M. Pignataro