Patents by Inventor Harlan Parrott

Harlan Parrott 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).

  • Patent number: 11218500
    Abstract: A method and system for parsing and identifying security log message data, which can include receiving system generated unstructured or partially semi-structured security log data from a plurality of source systems and devices, including a variety of different source systems and/or devices. The message data is received from the various sources in the form of raw log message data, as a stream of bytes received by a parsing system that identifies and extracts character features of the incoming raw messages. The extracted character features are compiled into data structures that are evaluated by a model(s) to determine segmentation boundaries thereof and generate message tokens, which are further classified as including variable data field(s) or as a template text string. Template categorized message tokens are used to provide message fingerprint information for characterizing the overall form of the message, and for comparison to a collection of previously stored/evaluated message fingerprints by a classifier.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: January 4, 2022
    Assignee: Secureworks Corp.
    Inventors: Kyle Soeder, Harlan Parrott, Paul DiOrio, Bradley Skaggs
  • Publication number: 20210037032
    Abstract: A method and system for parsing and identifying security log message data, which can include receiving system generated unstructured or partially semi-structured security log data from a plurality of source systems and devices, including a variety of different source systems and/or devices. The message data is received from the various sources in the form of raw log message data, as a stream of bytes received by a parsing system that identifies and extracts character features of the incoming raw messages. The extracted Character features are compiled into data structures that are evaluated by a model(s) to determine segmentation boundaries thereof and generate message tokens, which are further classified as including variable data field(s) or as a template text string. Template categorized message tokens are used to provide message fingerprint information for characterizing the overall form of the message, and for comparison to a collection of previously stored/evaluated message fingerprints by a classifier.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 4, 2021
    Inventors: Kyle Soeder, Harlan Parrott, Paul DiOrio, Bradley Skaggs