Patents by Inventor Zhengyi QIN

Zhengyi QIN 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).

  • Systems and methods for cyberbot network detection
    Patent number: 10819724
    Abstract: There is provided a neural network system for detection of domain generation algorithm generated domain names, the neural network system comprising: an input receiver configured for receiving domain names from one or more input sources; a convolutional neural network unit including one or more convolutional layers, the convolutional unit configured for receiving the input text and processing the input text through the one or more convolutional layers; a recurrent neural network unit including one or more long short term memory layers, the recurrent neural network unit configured to process the output from the convolutional neural network unit to perform pattern recognition; and a classification unit including one or more classification layers, the classification unit configured to receive output data from the recurrent neural network unit to perform a determination of whether the input text or portions of the input text are DGA-generated or benign domain names.
    Type: Grant
    Filed: April 3, 2018
    Date of Patent: October 27, 2020
    Assignee: ROYAL BANK OF CANADA
    Inventors: Ashkan Amiri, Bryce Croll, Cory Fong, Athinthra Krishnaswamy Sethurajan, Vikash Yadav, Sylvester King Chun Chiang, Zhengyi Qin, Cathal Smyth, Yik Chau Lui, Yanshuai Cao
  • SYSTEMS AND METHODS FOR CYBERBOT NETWORK DETECTION
    Publication number: 20180288086
    Abstract: There is provided a neural network system for detection of domain generation algorithm generated domain names, the neural network system comprising: an input receiver configured for receiving domain names from one or more input sources; a convolutional neural network unit including one or more convolutional layers, the convolutional unit configured for receiving the input text and processing the input text through the one or more convolutional layers; a recurrent neural network unit including one or more long short term memory layers, the recurrent neural network unit configured to process the output from the convolutional neural network unit to perform pattern recognition; and a classification unit including one or more classification layers, the classification unit configured to receive output data from the recurrent neural network unit to perform a determination of whether the input text or portions of the input text are DGA-generated or benign domain names.
    Type: Application
    Filed: April 3, 2018
    Publication date: October 4, 2018
    Inventors: Ashkan AMIRI, Bryce CROLL, Cory FONG, Athinthra Krishnaswamy SETHURAJAN, Vikash YADAV, Sylvester King Chun CHIANG, Zhengyi QIN, Cathal SMYTH, Yik Chau LUI, Yanshuai CAO