Patents by Inventor Dan COUGHLIN

Dan COUGHLIN 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: 11133999
    Abstract: Disclosed herein are methods, systems, and processes for centralized containerized deployment of network traffic sensors to network sensor hosts for deep packet inspection (DPI) that supports various other cybersecurity operations. A network sensor package containing a pre-configured network sensor container is received by a network sensor host from a network sensor deployment server. Installation of the network sensor package on the network sensor host causes execution of the network sensor container that further causes deployment of an on-premise network sensor along with a network sensor management system, a DPI system, and an intrusion detection/prevention (IDS/IPS) system. The configurable on-premise network sensor is deployed on multiple operating system distributions of the network sensor host and generates actionable network metadata using DPI techniques for optimized log search and management and improved intrusion detection and response (IDR) operations.
    Type: Grant
    Filed: May 15, 2020
    Date of Patent: September 28, 2021
    Assignee: Rapid7, Inc.
    Inventors: John Brosnan, Jeff Myers, Andriy Lyubka, Darragh Delaney, Erran Carey, Martin Hutchings, Ralph McTeggart, Ryan Williams, Daniel Skelton, Luke Coughlin, Gianni Tedesco, Luis Ramos dos Santos Lopes, Lars-Kristian Svenoy, Dan-Adrian Moinescu, Niall Cochrane, Morgan Doyle, Sarah Addis
  • Patent number: 10274620
    Abstract: A system for predicting occurrence of earthquakes greater than magnitude 4.5 within 24-48 hours includes a plurality of sensor stations in communication with a data center. The sensor stations collect data from three induction magnetometers, two ion detectors (positive and negative), a geophone, and temperature and humidity sensors. Infrared data for the area around the station is also collected and evaluated at the data center. Other sensors may be deployed to detect, identify, and eliminate signals that are attributed to noise. Noise sources may include solar storms, lightning, vehicles, electric trains, and other local machinery or man-made sources. Using the captured data, the data center applies signal-processing algorithms to identify patterns in the collected data that match known data patterns which have immediately preceded earthquakes.
    Type: Grant
    Filed: March 22, 2017
    Date of Patent: April 30, 2019
    Assignee: STELLAR SOLUTIONS, INC.
    Inventors: Thomas Bleier, Karl Kappler, John Doering, Laura MacLean, Dan Schneider, James Lemon, Dan Coughlin
  • Publication number: 20180275295
    Abstract: A system for predicting occurrence of earthquakes greater than magnitude 4.5 within 24-48 hours includes a plurality of sensor stations in communication with a data center. The sensor stations collect data from three induction magnetometers, two ion detectors (positive and negative), a geophone, and temperature and humidity sensors. Infrared data for the area around the station is also collected and evaluated at the data center. Other sensors may be deployed to detect, identify, and eliminate signals that are attributed to noise. Noise sources may include solar storms, lightning, vehicles, electric trains, and other local machinery or man-made sources. Using the captured data, the data center applies signal-processing algorithms to identify patterns in the collected data that match known data patterns which have immediately preceded earthquakes.
    Type: Application
    Filed: March 22, 2017
    Publication date: September 27, 2018
    Applicant: STELLAR SOLUTIONS, INC.
    Inventors: Thomas BLEIER, Karl KAPPLER, John DOERING, Laura MACLEAN, Dan SCHNEIDER, James LEMON, Dan COUGHLIN