Patents by Inventor Manjender NIR

Manjender NIR 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).

  • Machine learning classification of encrypted network traffic
    Patent number: 12640994
    Abstract: A system for labelling and classification of encrypted network traffic is disclosed. The system employs a Labeler, having a semi-supervised machine learning module for semi-automated labeling of encrypted network traffic, with an initial involvement of a human-in-the-loop intelligence for rapid training of the Labeler. The Labeler produces a labeled training set of encrypted network traffic flows. The system further includes a Modeler having a genetic algorithm module, for automatically selecting a list of network traffic features for further use in real-time classification of the encrypted network traffic, and outputting a corresponding classification model. The system further includes a Classifier for real-time classification of the encrypted network traffic using the classification model. Corresponding methods for labeling and classifying the encrypted network traffic are also provided.
    Type: Grant
    Filed: March 30, 2024
    Date of Patent: May 26, 2026
    Assignee: Solana Networks Inc.
    Inventors: Biswajit Nandy, Nabil Seddigh, Donald William Arthur Bennett, Jingyi Shen, Manjender Nir
  • MACHINE LEARNING LABELING OF ENCRYPTED NETWORK TRAFFIC
    Publication number: 20240356813
    Abstract: A system for labelling and classification of encrypted network traffic is disclosed. The system employs a Labeler, having a semi-supervised machine learning module for semi-automated labeling of encrypted network traffic, with an initial involvement of a human-in-the-loop intelligence for rapid training of the Labeler. The Labeler produces a labeled training set of encrypted network traffic flows. The system further includes a Modeler having a genetic algorithm module, for automatically selecting a list of network traffic features for further use in real-time classification of the encrypted network traffic, and outputting a corresponding classification model. The system further includes a Classifier for real-time classification of the encrypted network traffic using the classification model. Corresponding methods for labeling and classifying the encrypted network traffic are also provided.
    Type: Application
    Filed: March 30, 2024
    Publication date: October 24, 2024
    Inventors: Biswajit NANDY, Nabil SEDDIGH, Donald William Arthur BENNETT, Jingyi SHEN, Manjender NIR
  • METHOD AND SYSTEM FOR CLASSIFYING ENCRYPTED NETWORK TRAFFIC USING ARTIFICIAL INTELLIGENCE
    Publication number: 20240356814
    Abstract: A system for labelling and classification of encrypted network traffic is disclosed. The system employs a Labeler, having a semi-supervised machine learning module for semi-automated labeling of encrypted network traffic, with an initial involvement of a human-in-the-loop intelligence for rapid training of the Labeler. The Labeler produces a labeled training set of encrypted network traffic flows. The system further includes a Modeler having a genetic algorithm module, for automatically selecting a list of network traffic features for further use in real-time classification of the encrypted network traffic, and outputting a corresponding classification model. The system further includes a Classifier for real-time classification of the encrypted network traffic using the classification model. Corresponding methods for labeling and classifying the encrypted network traffic are also provided.
    Type: Application
    Filed: March 30, 2024
    Publication date: October 24, 2024
    Inventors: Biswajit NANDY, Nabil SEDDIGH, Donald William Arthur BENNETT, Jingyi SHEN, Manjender NIR