Patents by Inventor Kunal Minda

Kunal Minda 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).

  • Detecting and identifying anomalies for single page applications
    Patent number: 11860761
    Abstract: In one embodiment, a device obtains page load information corresponding to a loaded web application. The device detects, based on the page load information, an anomalous feature of the loaded web application. The device identifies a type of the anomalous feature based on a number of resource anomalies within the loaded web application, wherein the type of the anomalous feature is selected from a group consisting of: a page anomaly; a resource anomaly; and a domain anomaly. The device performs one or more mitigation actions according to the type of the anomalous feature.
    Type: Grant
    Filed: October 21, 2021
    Date of Patent: January 2, 2024
    Assignee: Cisco Technology, Inc.
    Inventor: Kunal Minda
  • DETECTING AND IDENTIFYING ANOMALIES FOR SINGLE PAGE APPLICATIONS
    Publication number: 20230128202
    Abstract: In one embodiment, a device obtains page load information corresponding to a loaded web application. The device detects, based on the page load information, an anomalous feature of the loaded web application. The device identifies a type of the anomalous feature based on a number of resource anomalies within the loaded web application, wherein the type of the anomalous feature is selected from a group consisting of: a page anomaly; a resource anomaly; and a domain anomaly. The device performs one or more mitigation actions according to the type of the anomalous feature.
    Type: Application
    Filed: October 21, 2021
    Publication date: April 27, 2023
    Inventor: Kunal MINDA
  • Resource cache classification using machine learning
    Patent number: 10650079
    Abstract: In one embodiment, techniques herein determine a plurality of resources loaded during rendering of a web page on a client device, and determine a duration of time taken for each of the plurality of resources to fully load. Accordingly, the techniques herein may then cluster the plurality of resources into clusters, comprising a first cluster consisting of resources having the shortest durations of the plurality of resources and a second cluster consisting of resources having the longest durations of the plurality of resources. Those resources of the first cluster may then be classified as cached resources, while those resources of the second cluster may be classified as non-cached resources.
    Type: Grant
    Filed: November 1, 2017
    Date of Patent: May 12, 2020
    Assignee: Cisco Technology, Inc.
    Inventors: Shubham Jindal, Nandakumar Devi, Kunal Minda, Vaibhav Tripathi
  • RESOURCE CACHE CLASSIFICATION USING MACHINE LEARNING
    Publication number: 20190130045
    Abstract: In one embodiment, techniques herein determine a plurality of resources loaded during rendering of a web page on a client device, and determine a duration of time taken for each of the plurality of resources to fully load. Accordingly, the techniques herein may then cluster the plurality of resources into clusters, comprising a first cluster consisting of resources having the shortest durations of the plurality of resources and a second cluster consisting of resources having the longest durations of the plurality of resources. Those resources of the first cluster may then be classified as cached resources, while those resources of the second cluster may be classified as non-cached resources.
    Type: Application
    Filed: November 1, 2017
    Publication date: May 2, 2019
    Inventors: Shubham Jindal, Nandakumar Devi, Kunal Minda, Vaibhav Tripathi