Patents by Inventor Peter Andriukaitis

Peter Andriukaitis 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).

  • Methods and apparatus for intrusion prevention using global and local feature extraction contexts
    Patent number: 11044265
    Abstract: In one embodiment, local begin and end tags are detected by a network security device to determine a local context of a network traffic flow, and a local feature vector is obtained for that local context. At least one triggering machine learning model is applied by the network security device to the local feature vector, and the result determines whether or not deeper analysis is warranted. In most cases, very substantial resources are not required because deeper analysis is not indicated. If deeper analysis is indicated, one or more deeper machine learning model may then be applied to global and local feature vectors, and regular expressions may be applied to packet data, which may include the triggering data packet and one or more subsequent data packets. Other embodiments, aspects and features are also disclosed.
    Type: Grant
    Filed: June 11, 2020
    Date of Patent: June 22, 2021
    Assignee: Trend Micro Incorporated
    Inventors: Josiah Dede Hagen, Jonathan Edward Andersson, Shoufu Luo, Brandon Niemczyk, Leslie Zsohar, Craig Botkin, Peter Andriukaitis
  • Methods and apparatus for intrusion prevention using global and local feature extraction contexts
    Patent number: 10728268
    Abstract: In one embodiment, local begin and end tags are detected by a network security device to determine a local context of a network traffic flow, and a local feature vector is obtained for that local context. At least one triggering machine learning model is applied by the network security device to the local feature vector, and the result determines whether or not deeper analysis is warranted. In most cases, very substantial resources are not required because deeper analysis is not indicated. If deeper analysis is indicated, one or more deeper machine learning model may then be applied to global and local feature vectors, and regular expressions may be applied to packet data, which may include the triggering data packet and one or more subsequent data packets. Other embodiments, aspects and features are also disclosed.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: July 28, 2020
    Assignee: Trend Micro Incorporated
    Inventors: Josiah Dede Hagen, Jonathan Edward Andersson, Shoufu Luo, Brandon Niemczyk, Leslie Zsohar, Craig Botkin, Peter Andriukaitis