Patents by Inventor Bong Gyoune Kim

Bong Gyoune Kim 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: 10204157
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: February 12, 2019
    Assignee: SONICWALL INC.
    Inventor: Bong Gyoune Kim
  • Publication number: 20170126601
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Application
    Filed: November 8, 2016
    Publication date: May 4, 2017
    Inventor: Bong Gyoune Kim
  • Patent number: 9489452
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Grant
    Filed: February 11, 2014
    Date of Patent: November 8, 2016
    Assignee: DELL SOFTWARE INC.
    Inventor: Bong Gyoune Kim
  • Publication number: 20140156678
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Application
    Filed: February 11, 2014
    Publication date: June 5, 2014
    Applicant: SonicWALL, Inc.
    Inventor: Bong Gyoune Kim
  • Patent number: 8718318
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Grant
    Filed: December 31, 2009
    Date of Patent: May 6, 2014
    Assignee: SonicWALL, Inc.
    Inventor: Bong Gyoune Kim
  • Patent number: 8693782
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Grant
    Filed: March 1, 2010
    Date of Patent: April 8, 2014
    Assignee: SonicWALL, Inc.
    Inventor: Bong Gyoune Kim
  • Publication number: 20100254567
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Application
    Filed: December 31, 2009
    Publication date: October 7, 2010
    Inventor: Bong Gyoune Kim
  • Publication number: 20100246960
    Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.
    Type: Application
    Filed: March 1, 2010
    Publication date: September 30, 2010
    Inventor: Bong Gyoune Kim