Patents by Inventor Apoorv Krishak

Apoorv Krishak 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: 11522882
    Abstract: Implementations are directed to methods for detecting and identifying advanced persistent threats (APTs) in networks, including receiving first domain activity data from a first network domain and second domain activity data from a second network domain, including multiple alerts from the respective first and second network domains and where each alert of the multiple alerts results from one or more detected events in the respective first or second network domains. A classification determined for each alert of the multiple alerts with respect to a cyber kill chain. A dependency is then determined for each of one or more pairs of alerts and a graphical visualization of the multiple alerts is generated, where the graphical visualization includes multiple nodes and edges between the nodes, each node corresponding to the cyber kill chain and representing at least one alert, and each edge representing a dependency between alerts.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: December 6, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Amin Hassanzadeh, Azzedine Benameur, Robin Lynn Burkett, Apoorv Krishak, Chien An Chen, Nahid Farhady Ghalaty
  • Publication number: 20210037029
    Abstract: Implementations are directed to methods for detecting and identifying advanced persistent threats (APTs) in networks, including receiving first domain activity data from a first network domain and second domain activity data from a second network domain, including multiple alerts from the respective first and second network domains and where each alert of the multiple alerts results from one or more detected events in the respective first or second network domains. A classification determined for each alert of the multiple alerts with respect to a cyber kill chain. A dependency is then determined for each of one or more pairs of alerts and a graphical visualization of the multiple alerts is generated, where the graphical visualization includes multiple nodes and edges between the nodes, each node corresponding to the cyber kill chain and representing at least one alert, and each edge representing a dependency between alerts.
    Type: Application
    Filed: October 19, 2020
    Publication date: February 4, 2021
    Inventors: Amin Hassanzadeh, Azzedine Benameur, Robin Lynn Burkett, Apoorv Krishak, Chien An Chen, Nahid Farhady Ghalaty
  • Patent number: 10812499
    Abstract: Implementations are directed to methods for detecting and identifying advanced persistent threats (APTs) in networks, including receiving first domain activity data from a first network domain and second domain activity data from a second network domain, including multiple alerts from the respective first and second network domains and where each alert of the multiple alerts results from one or more detected events in the respective first or second network domains. A classification determined for each alert of the multiple alerts with respect to a cyber kill chain. A dependency is then determined for each of one or more pairs of alerts and a graphical visualization of the multiple alerts is generated, where the graphical visualization includes multiple nodes and edges between the nodes, each node corresponding to the cyber kill chain and representing at least one alert, and each edge representing a dependency between alerts.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: October 20, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Amin Hassanzadeh, Azzedine Benameur, Robin Lynn Burkett, Apoorv Krishak, Chien An Chen, Nahid Farhady Ghalaty
  • Publication number: 20190141058
    Abstract: Implementations are directed to methods for detecting and identifying advanced persistent threats (APTs) in networks, including receiving first domain activity data from a first network domain and second domain activity data from a second network domain, including multiple alerts from the respective first and second network domains and where each alert of the multiple alerts results from one or more detected events in the respective first or second network domains. A classification determined for each alert of the multiple alerts with respect to a cyber kill chain. A dependency is then determined for each of one or more pairs of alerts and a graphical visualization of the multiple alerts is generated, where the graphical visualization includes multiple nodes and edges between the nodes, each node corresponding to the cyber kill chain and representing at least one alert, and each edge representing a dependency between alerts.
    Type: Application
    Filed: November 9, 2017
    Publication date: May 9, 2019
    Inventors: Amin Hassanzadeh, Azzedine Benameur, Robin Lynn Burkett, Apoorv Krishak, Chien An Chen, Nahid Farhady Ghalaty