Patents by Inventor John J. Wu

John J. Wu 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: 11916024
    Abstract: A method of forming a semiconductor device comprising forming a patterned resist over a stack comprising at least one material and removing a portion of the stack exposed through the patterned resist to form a stack opening. A portion of the patterned resist is laterally removed to form a trimmed resist and an additional portion of the stack exposed through the trimmed resist is removed to form steps in sidewalls of the stack. A dielectric material is formed between the sidewalls of the stack to substantially completely fill the stack opening, and the dielectric material is planarized. Additional methods are disclosed, as well as semiconductor devices.
    Type: Grant
    Filed: September 14, 2021
    Date of Patent: February 27, 2024
    Assignee: Micron Technology, Inc.
    Inventors: Rohit Kothari, Adam L Olson, John D. Hopkins, Jeslin J. Wu
  • Patent number: 11848950
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Grant
    Filed: October 18, 2021
    Date of Patent: December 19, 2023
    Assignee: Gryphon Online Safety, Inc.
    Inventors: Aridam Das, Arup Bhattacharya, John J Wu
  • Publication number: 20220038484
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Application
    Filed: October 18, 2021
    Publication date: February 3, 2022
    Inventors: Aridam Das, Arup Bhattacharya, John J Wu
  • Patent number: 11178165
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Grant
    Filed: June 29, 2020
    Date of Patent: November 16, 2021
    Assignee: Gryphon Online Safety, Inc.
    Inventors: Arindam Das, Arup Bhattacharya, John J Wu
  • Publication number: 20200329065
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Application
    Filed: June 29, 2020
    Publication date: October 15, 2020
    Applicant: Gryphon Online Safety, Inc.
    Inventors: Arindam Das, Arup Bhattacharya, John J. Wu
  • Patent number: 10771487
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Grant
    Filed: December 12, 2017
    Date of Patent: September 8, 2020
    Assignee: Gryphon Online Safety Inc.
    Inventors: Arindam Das, Arup Bhattacharya, John J. Wu
  • Publication number: 20190182278
    Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.
    Type: Application
    Filed: December 12, 2017
    Publication date: June 13, 2019
    Inventors: Arindam Das, Arup Bhattacharya, John J Wu
  • Publication number: 20080268880
    Abstract: A wireless communication method includes monitoring WWAN signals for a device while a primary processor of the device is in a low-power or power-off mode, determining if a WWAN signal includes a message including instructions to wake up the device, and transmitting a signal to the primary processor to wake up the device if the message includes said instructions to wake up the device.
    Type: Application
    Filed: April 26, 2007
    Publication date: October 30, 2008
    Inventors: Thanh Khai Ong, John J. Wu