Patents by Inventor SCOTT B. MISERENDINO

SCOTT B. MISERENDINO 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).

  • Publication number: 20230222381
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Application
    Filed: September 9, 2022
    Publication date: July 13, 2023
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Patent number: 11481684
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: October 25, 2022
    Assignee: BLUVECTOR, INC.
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Publication number: 20210374609
    Abstract: Digital object library management systems and methods for machine learning applications are taught herein.
    Type: Application
    Filed: March 15, 2021
    Publication date: December 2, 2021
    Inventors: Scott B. Miserendino, Donald D. Steiner, Ryan V. Peters, Guy B. Fairbanks
  • Patent number: 10977571
    Abstract: Digital object library management systems and methods for machine learning applications are taught herein.
    Type: Grant
    Filed: March 2, 2015
    Date of Patent: April 13, 2021
    Assignee: BluVector, Inc.
    Inventors: Scott B. Miserendino, Donald D. Steiner, Ryan V. Peters, Guy B. Fairbanks
  • Publication number: 20200401941
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Application
    Filed: June 29, 2020
    Publication date: December 24, 2020
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Patent number: 10733539
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: August 4, 2020
    Assignee: BLUVECTOR, INC.
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Publication number: 20190311285
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Application
    Filed: November 5, 2018
    Publication date: October 10, 2019
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Patent number: 10121108
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Grant
    Filed: June 8, 2016
    Date of Patent: November 6, 2018
    Assignee: BluVector, Inc.
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Publication number: 20170032279
    Abstract: A system and method for batched, supervised, in-situ machine learning classifier retraining for malware identification and model heterogeneity.
    Type: Application
    Filed: June 8, 2016
    Publication date: February 2, 2017
    Inventors: Scott B. Miserendino, Robert H. Klein, Ryan V. Peters, Peter E. Kaloroumakis
  • Publication number: 20160260023
    Abstract: Digital object library management systems and methods for machine learning applications are taught herein.
    Type: Application
    Filed: March 2, 2015
    Publication date: September 8, 2016
    Inventors: Scott B. Miserendino, JR., Donald D. Steiner, Ryan V. Peters, Guy B. Fairbanks
  • Publication number: 20130321458
    Abstract: In one embodiment, a method includes generating a treemap for a network space having an array of network addresses. The treemap includes a hierarchical network map with a plurality of leaf nodes, and each leaf node in the treemap characterizes a proper subset of the array of network addresses. The method includes overlaying an organizational schema for an organization on to the hierarchical network map to identify a plurality of nodes of the network space employed by the organization. The method includes generating a visualization for a graphical user interface (GUI) of the hierarchical network map with the organizational schema overlaid thereon that includes a visual indicia of network events that occur within the network space.
    Type: Application
    Filed: May 30, 2013
    Publication date: December 5, 2013
    Applicant: NORTHROP GRUMMAN SYSTEMS CORPORATION
    Inventors: SCOTT B. MISERENDINO, DAVID MORSBERGER, WILLIAM E. FREEMAN, CHRISTOPHER CHARLES VALENTINO