Patents by Inventor Curtis Byron Storlie

Curtis Byron Storlie 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).

  • PATH SCANNING FOR THE DETECTION OF ANOMALOUS SUBGRAPHS AND USE OF DNS REQUESTS AND HOST AGENTS FOR ANOMALY/CHANGE DETECTION AND NETWORK SITUATIONAL AWARENESS
    Publication number: 20190182281
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Application
    Filed: February 18, 2019
    Publication date: June 13, 2019
    Applicant: Triad National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, JR., Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • Path scanning for the detection of anomalous subgraphs and use of DNS requests and host agents for anomaly/change detection and network situational awareness
    Patent number: 10243984
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Grant
    Filed: November 10, 2017
    Date of Patent: March 26, 2019
    Assignee: Triad National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, Jr., Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • PATH SCANNING FOR THE DETECTION OF ANOMALOUS SUBGRAPHS AND USE OF DNS REQUESTS AND HOST AGENTS FOR ANOMALY/CHANGE DETECTION AND NETWORK SITUATIONAL AWARENESS
    Publication number: 20180109544
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Application
    Filed: November 10, 2017
    Publication date: April 19, 2018
    Applicant: Los Alamos National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, Jr., Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • Path scanning for the detection of anomalous subgraphs and use of DNS requests and host agents for anomaly/change detection and network situational awareness
    Patent number: 9825979
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Grant
    Filed: January 30, 2017
    Date of Patent: November 21, 2017
    Assignee: Los Alamos National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • PATH SCANNING FOR THE DETECTION OF ANOMALOUS SUBGRAPHS AND USE OF DNS REQUESTS AND HOST AGENTS FOR ANOMALY/CHANGE DETECTION AND NETWORK SITUATIONAL AWARENESS
    Publication number: 20170163668
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Application
    Filed: January 30, 2017
    Publication date: June 8, 2017
    Applicant: Los Alamos National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • Path scanning for the detection of anomalous subgraphs and use of DNS requests and host agents for anomaly/change detection and network situational awareness
    Patent number: 9560065
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: January 31, 2017
    Assignee: Los Alamos National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, Jr., Curtis Byron Storlie, Benjamin Uphoff, Alexander Kent
  • PATH SCANNING FOR THE DETECTION OF ANOMALOUS SUBGRAPHS AND USE OF DNS REQUESTS AND HOST AGENTS FOR ANOMALY/CHANGE DETECTION AND NETWORK SITUATIONAL AWARENESS
    Publication number: 20150020199
    Abstract: A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (“UHCA”) may also be used to detect anomalous behavior.
    Type: Application
    Filed: March 14, 2013
    Publication date: January 15, 2015
    Applicant: Los Alamos National Security, LLC
    Inventors: Joshua Charles Neil, Michael Edward Fisk, Alexander William Brugh, Curtis Lee Hash, JR., Curtis Byron Storlie, Benjamin Upoff, Alexander Kent