Patents by Inventor Sanjana Pai Nagarmat

Sanjana Pai Nagarmat 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).

  • Method and system for predicting an attack path in a computer network
    Patent number: 11438361
    Abstract: The present disclosure discloses method and an attack path prediction system for predicting an attack path in a computer network. The attack path prediction system receives static and dynamic data associated with a source node attacked in computer network along with static and dynamic risk attributes of one or more vulnerabilities associated with one or more target nodes reachable from source node. A likelihood score is calculated for each of one or more vulnerabilities associated with one or more target nodes in relation to each of one or more vulnerabilities associated with source node based on static and dynamic risk attributes. Additionally, a prediction score is calculated for each of one or more vulnerabilities associated with target nodes based on corresponding likelihood score and static and dynamic risk attributes. Thereafter, based on prediction score, the attack path is predicted between the source node and one or more target nodes.
    Type: Grant
    Filed: November 29, 2019
    Date of Patent: September 6, 2022
    Assignee: HITACHI, LTD.
    Inventors: Ramesh Kumar Rakesh, Remish Leonard Minz, Sanjana Pai Nagarmat
  • METHOD AND SYSTEM FOR PREDICTING AN ATTACK PATH IN A COMPUTER NETWORK
    Publication number: 20200304534
    Abstract: The present disclosure discloses method and an attack path prediction system for predicting an attack path in a computer network. The attack path prediction system receives static and dynamic data associated with a source node attacked in computer network along with static and dynamic risk attributes of one or more vulnerabilities associated with one or more target nodes reachable from source node. A likelihood score is calculated for each of one or more vulnerabilities associated with one or more target nodes in relation to each of one or more vulnerabilities associated with source node based on static and dynamic risk attributes. Additionally, a prediction score is calculated for each of one or more vulnerabilities associated with target nodes based on corresponding likelihood score and static and dynamic risk attributes. Thereafter, based on prediction score, the attack path is predicted between the source node and one or more target nodes.
    Type: Application
    Filed: November 29, 2019
    Publication date: September 24, 2020
    Inventors: Ramesh Kumar RAKESH, Remish Leonard MINZ, Sanjana Pai Nagarmat