Patents by Inventor Robert Frederick Albach

Robert Frederick Albach 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: 12047418
    Abstract: Presented herein is a system, device and method that involve creating a policy model and policy rule structure for a policy enforcement point to support policies adapt to rapid changing external conditions in addition to traditional policies that are static. The system facilitates the use of attributes that are either or both dynamically (at run-time) created and/or defined as ephemeral. A new policy attribute may be created dynamically (at run-time). The policy attribute may be mapped as being static or ephemeral. The methodology further involves facilitating evaluation of an attribute as an atomic or programmed set of functions.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: July 23, 2024
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Nancy Cam-Winget, Jianxin Wang, Dieter Derek Weber, Saman Taghavi Zargar, Robert Frederick Albach
  • Patent number: 11443230
    Abstract: A trained model may be deployed to an Internet-of-Things (IOT) operational environment in order to ingest features and detect events extracted from network traffic. The model may be received and converted into a meta-language representation which is interpretable by a data plane engine. The converted model can then be deployed to the data plane and may extract features from network communications over the data plane. The extracted features may be fed to the deployed model in order to generate event classifications or device state classifications.
    Type: Grant
    Filed: September 19, 2018
    Date of Patent: September 13, 2022
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Nancy Cam-Winget, Subharthi Paul, Blake Anderson, Saman Taghavi Zargar, Oleg Bessonov, Robert Frederick Albach, Sanjay Kumar Agarwal, Mark Steven Knellinger
  • Publication number: 20200389497
    Abstract: Presented herein is a system, device and method that involve creating a policy model and policy rule structure for a policy enforcement point to support policies adapt to rapid changing external conditions in addition to traditional policies that are static. The system facilitates the use of attributes that are either or both dynamically (at run-time) created and/or defined as ephemeral. A new policy attribute may be created dynamically (at run-time). The policy attribute may be mapped as being static or ephemeral. The methodology further involves facilitating evaluation of an attribute as an atomic or programmed set of functions.
    Type: Application
    Filed: November 27, 2019
    Publication date: December 10, 2020
    Inventors: Nancy Cam-Winget, Jianxin Wang, Dieter Derek Weber, Saman Taghavi Zargar, Robert Frederick Albach
  • Publication number: 20190236493
    Abstract: A trained model may be deployed to an Internet-of-Things (IOT) operational environment in order to ingest features and detect events extracted from network traffic. The model may be received and converted into a meta-language representation which is interpretable by a data plane engine. The converted model can then be deployed to the data plane and may extract features from network communications over the data plane. The extracted features may be fed to the deployed model in order to generate event classifications or device state classifications.
    Type: Application
    Filed: September 19, 2018
    Publication date: August 1, 2019
    Inventors: Nancy Cam-Winget, Subharthi Paul, Blake Anderson, Saman Taghavi Zargar, Oleg Bessonov, Robert Frederick Albach, Sanjay Kumar Agarwal, Mark Steven Knellinger