Patents by Inventor Venkatesh MADI

Venkatesh MADI 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).

  • IoT malware classification at a network device
    Patent number: 12101339
    Abstract: Some examples relate to classifying IoT malware at a network device. An example includes receiving, by a network device, network traffic from an Internet of Things (IoT) device. Network device may analyze network parameters from the network traffic with a machine learning model. In response to analyzing, network device may classify the network traffic into a category of malware activity. Network device may determine an effectiveness of network traffic classification by measuring a deviation of the network parameters from previously trained network parameters that were used for training the machine learning model. In response to a determination that the deviation of the network parameters from the trained network parameters is more than a pre-defined threshold, network device may generate an alert highlighting the deviation, which allows a user to perform a remedial action pertaining to the IoT device.
    Type: Grant
    Filed: August 16, 2021
    Date of Patent: September 24, 2024
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Madhusoodhana Chari Sesha, Ramasamy Apathotharanan, Shree Phani Sundara Banavathi Narayana Sastry, Priyanka Chandrashekar Bhat, Venkatesh Madi, Srinidhi Hari Prasad, Azath Abdul Samadh, Kumar Suresh, Manjunath Rajendra Batakurki, Madhumitha Rajamohan, Ganesh Pagoti, Sriram Mahadeva, Karthik Arumugam, Harish Ramachandran, Fahad Kameez
  • IoT MALWARE CLASSIFICATION AT A NETWORK DEVICE
    Publication number: 20230049886
    Abstract: Some examples relate to classifying IoT malware at a network device. An example includes receiving, by a network device, network traffic from an Internet of Things (IoT) device. Network device may analyze network parameters from the network traffic with a machine learning model. In response to analyzing, network device may classify the network traffic into a category of malware activity. Network device may determine an effectiveness of network traffic classification by measuring a deviation of the network parameters from previously trained network parameters that were used for training the machine learning model. In response to a determination that the deviation of the network parameters from the trained network parameters is more than a pre-defined threshold, network device may generate an alert highlighting the deviation, which allows a user to perform a remedial action pertaining to the IoT device.
    Type: Application
    Filed: August 16, 2021
    Publication date: February 16, 2023
    Inventors: Madhusoodhana Chari SESHA, Ramasamy APATHOTHARANAN, Shree Phani Sundara BANAVATHI NARAYANA SASTRY, Priyanka Chandrashekar BHAT, Venkatesh MADI, Srinidhi HARI PRASAD, Azath Abdul SAMADH, Kumar SURESH, Manjunath Rajendra BATAKURKI, Madhumitha RAJAMOHAN, Ganesh PAGOTI, Sriram MAHADEVA, Karthik ARUMUGAM, Harish RAMACHANDRAN, Fahad KAMEEZ