Patents by Inventor Salvador Mandujano

Salvador Mandujano 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).

  • IDENTIFY MALICIOUS SOFTWARE
    Publication number: 20240134980
    Abstract: A method for identifying malicious software includes receiving and executing a software application, identifying a plurality of uniform resource identifiers the software application interacts with during execution of the software application, and generating a vector representation for the software application using a feed-forward neural network configured to receive the plurality of uniform resource identifiers as feature inputs. The method also includes determining similarity scores for a pool of training applications, each similarity score associated with a corresponding training application and indicating a level of similarity between the vector representation for the software application and a respective vector representation for the corresponding training application.
    Type: Application
    Filed: December 20, 2023
    Publication date: April 25, 2024
    Applicant: Google LLC
    Inventors: Richard Cannings, Sai Deep Tetali, Mo Yu, Salvador Mandujano
  • Identify malicious software
    Patent number: 11880462
    Abstract: A method (600) for identifying malicious software includes receiving and executing a software application (210), identifying a plurality of uniform resource identifiers (220) the software application interacts with during execution of the software application, and generating a vector representation (260) for the software application using a feed-forward neural network (170) configured to receive the plurality of uniform resource identifiers as feature inputs. The method also includes determining similarity scores (262) for a pool of training applications, each similarity score associated with a corresponding training application and indicating a level of similarity between the vector representation for the software application and a respective vector representation for the corresponding training application.
    Type: Grant
    Filed: May 21, 2018
    Date of Patent: January 23, 2024
    Assignee: Google LLC
    Inventors: Richard Cannings, Sai Deep Tetali, Mo Yu, Salvador Mandujano
  • Identify Malicious Software
    Publication number: 20210200872
    Abstract: A method (600) for identifying malicious software includes receiving and executing a software application (210), identifying a plurality of uniform resource identifiers (220) the software application interacts with during execution of the software application, and generating a vector representation (260) for the software application using a feed-forward neural network (170) configured to receive the plurality of uniform resource identifiers as feature inputs. The method also includes determining similarity scores (262) for a pool of training applications, each similarity score associated with a corresponding training application and indicating a level of similarity between the vector representation for the software application and a respective vector representation for the corresponding training application.
    Type: Application
    Filed: May 21, 2018
    Publication date: July 1, 2021
    Applicant: Google LLC
    Inventors: Richard Cannings, Sai Deep Tetali, Mo Yu, Salvador Mandujano