Patents by Inventor Ashkan AMIRI

Ashkan AMIRI 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).

  • Publication number: 20230044645
    Abstract: A computer-implemented method comprises receiving a subscription request from at least one subscriber, the subscription request defining one or more subscription parameters; obtaining one or more events from at least one publisher; marshalling the one or more events according to the one or more subscription parameters; and delivering the one or more events to the subscriber based on the marshalling.
    Type: Application
    Filed: October 14, 2022
    Publication date: February 9, 2023
    Applicant: BlackBerry Limited
    Inventors: Nicholas Ivan LANDRY, Ashkan AMIRI, Geordon Thomas FERGUSON, Biswaroop MUKHERJEE
  • Patent number: 11483412
    Abstract: A computer-implemented method comprises receiving a subscription request from at least one subscriber, the subscription request defining one or more subscription parameters; obtaining one or more events from at least one publisher; marshalling the one or more events according to the one or more subscription parameters; and delivering the one or more events to the subscriber based on the marshalling.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: October 25, 2022
    Assignee: BlackBerry Limited
    Inventors: Nicholas Ivan Landry, Ashkan Amiri, Geordon Thomas Ferguson, Biswaroop Mukherjee
  • Publication number: 20220210239
    Abstract: A computer-implemented method comprises receiving a subscription request from at least one subscriber, the subscription request defining one or more subscription parameters; obtaining one or more events from at least one publisher; marshalling the one or more events according to the one or more subscription parameters; and delivering the one or more events to the subscriber based on the marshalling.
    Type: Application
    Filed: December 30, 2020
    Publication date: June 30, 2022
    Applicant: BlackBerry Limited
    Inventors: Nicholas Ivan LANDRY, Ashkan AMIRI, Geordon Thomas FERGUSON, Biswaroop MUKHERJEE
  • 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
  • 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