Patents by Inventor Lorie Liebrock

Lorie Liebrock 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).

  • Detecting anomalous behavior via user authentication graphs
    Patent number: 10356107
    Abstract: Significant and aggregate user authentication activity may be analyzed across a population of users and computers in one or more networks to differentiate between authorized users and intruders in a network, and/or to detect inappropriate behavior by otherwise authorized users. Dynamic graphs and graph models over user and computer authentication activity, including time-constrained models, may be used for the purposes of profiling and analyzing user behavior in computer networks. More specifically, an edge-based breadth first search of graphs may be used that enforces time-constraints while maintaining traditional breadth first search computational complexity equivalence.
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: July 16, 2019
    Assignees: Triad National Security, LLC, New Mexico Tech Research Park Corporation
    Inventors: Alexander D. Kent, Joshua Charles Neil, Lorie Liebrock
  • Detecting anomalous behavior via user authentication graphs
    Patent number: 10015175
    Abstract: Significant and aggregate user authentication activity may be analyzed across a population of users and computers in one or more networks to differentiate between authorized users and intruders in a network, and/or to detect inappropriate behavior by otherwise authorized users. Dynamic graphs and graph models over user and computer authentication activity, including time-constrained models, may be used for the purposes of profiling and analyzing user behavior in computer networks. More specifically, an edge-based breadth first search of graphs may be used that enforces time-constraints while maintaining traditional breadth first search computational complexity equivalence.
    Type: Grant
    Filed: April 15, 2016
    Date of Patent: July 3, 2018
    Assignees: Los Alamos National Security, LLC, New Mexico Tech Research Foundation
    Inventors: Alexander Kent, Joshua Neil, Lorie Liebrock
  • DETECTING ANOMALOUS BEHAVIOR VIA USER AUTHENTICATION GRAPHS
    Publication number: 20160308884
    Abstract: Significant and aggregate user authentication activity may be analyzed across a population of users and computers in one or more networks to differentiate between authorized users and intruders in a network, and/or to detect inappropriate behavior by otherwise authorized users. Dynamic graphs and graph models over user and computer authentication activity, including time-constrained models, may be used for the purposes of profiling and analyzing user behavior in computer networks. More specifically, an edge-based breadth first search of graphs may be used that enforces time-constraints while maintaining traditional breadth first search computational complexity equivalence.
    Type: Application
    Filed: April 15, 2016
    Publication date: October 20, 2016
    Applicants: Los Alamos National Security, LLC, New Mexico Tech Research Foundation
    Inventors: Alexander Kent, Joshua Neil, Lorie Liebrock