Patents by Inventor Curtis Storlie

Curtis 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).

  • NON-HARMFUL INSERTION OF DATA MIMICKING COMPUTER NETWORK ATTACKS
    Publication number: 20200028864
    Abstract: Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.
    Type: Application
    Filed: October 24, 2018
    Publication date: January 23, 2020
    Inventors: Joshua Neil, Alexander Kent, Curtis Hash, JR., Michael Fisk, Alexander Brugh, Curtis Storlie, Benjamin Uphoff
  • Non-harmful insertion of data mimicking computer network attacks
    Patent number: 10530799
    Abstract: Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: January 7, 2020
    Assignee: Triad National Security, LLC
    Inventors: Joshua Neil, Alexander Kent, Curtis Hash, Jr., Michael Fisk, Alexander Brugh, Curtis Storlie, Benjamin Uphoff
  • Non-harmful insertion of data mimicking computer network attacks
    Patent number: 10122741
    Abstract: Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.
    Type: Grant
    Filed: May 26, 2016
    Date of Patent: November 6, 2018
    Assignee: Los Alamos National Security, LLC
    Inventors: Joshua Neil, Alexander Kent, Curtis Hash, Jr., Michael Fisk, Alexander Brugh, Curtis Storlie, Benjamin Uphoff
  • AUTOMATED IDENTIFICATION AND REVERSE ENGINEERING OF MALWARE
    Publication number: 20160306971
    Abstract: An automated malware identification and reverse engineering tool is provided. Subroutine categories may be learned by machine learning. A program may then be reverse-engineered and classified, and subroutines that are potentially indicative of malware may be identified. These subroutines may be reviewed by a reverse engineer to determine whether the program is malware in a more directed and efficient manner.
    Type: Application
    Filed: April 14, 2016
    Publication date: October 20, 2016
    Applicant: Los Alamos National Security, LLC
    Inventors: Blake Anderson, Curtis Storlie, Joseph Sexton