Patents by Inventor Vikram K. Desai

Vikram K. Desai 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: 10305924
    Abstract: A network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system implements natural language processing techniques to examine the content of network and time series data to identify anomalies within new activity.
    Type: Grant
    Filed: October 6, 2017
    Date of Patent: May 28, 2019
    Assignee: Accenture Global Solutions Limited
    Inventors: Edward Marquardt, Vikram K. Desai, Patrick J. Joyce, Brandon Whiteman
  • Patent number: 9961100
    Abstract: A network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system takes a new approach to defining the network baseline, using, as examples, topic modeling and time series algorithms. The analysis system implements natural language processing techniques to examine the content of network and time series data to establish and maintain a definition of the baseline network state model, against which new activity is compared to identify anomalies.
    Type: Grant
    Filed: March 13, 2017
    Date of Patent: May 1, 2018
    Assignee: Accenture Global Solutions Limited
    Inventors: Edward Marquardt, Vikram K. Desai, Patrick J. Joyce, Brandon Whiteman
  • Publication number: 20180091539
    Abstract: A network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system implements natural language processing techniques to examine the content of network and time series data to identify anomalies within new activity.
    Type: Application
    Filed: October 6, 2017
    Publication date: March 29, 2018
    Applicant: Accenture Global Solutions Limited
    Inventors: Edward Marquardt, Vikram K. Desai, Patrick J. Joyce, Brandon Whiteman
  • Publication number: 20180034840
    Abstract: A network security analysis system performs anomaly detection with low false positives by implementing a multiple perspective analysis of network data. The analysis system takes a new approach to defining the network baseline, using, as examples, topic modeling and time series algorithms. The analysis system implements natural language processing techniques to examine the content of network and time series data to establish and maintain a definition of the baseline network state model, against which new activity is compared to identify anomalies.
    Type: Application
    Filed: March 13, 2017
    Publication date: February 1, 2018
    Inventors: Edward Marquardt, Vikram K. Desai, Patrick J. Joyce, Brandon Whiteman