Patents by Inventor Sejal Pranlal Kamani

Sejal Pranlal Kamani 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: 10986103
    Abstract: Example embodiments disclosed herein relate to generate signal tokens indicative of malware. A code analysis is performed on known malware application code and known clean application code to generate tokens. Signal tokens indicative of malware are generated based on groupings of the tokens.
    Type: Grant
    Filed: July 31, 2013
    Date of Patent: April 20, 2021
    Assignee: Micro Focus LLC
    Inventors: Frank Chijeen Hsueh, Sejal Pranlal Kamani
  • Patent number: 9798981
    Abstract: Example embodiments disclosed herein relate to determining malware. A set of tokens is generated from an application under test, A set of signal tokens is generated from the set of tokens. A likelihood of malware is determined for the application under test based on the signal tokens and a signal token database.
    Type: Grant
    Filed: August 27, 2013
    Date of Patent: October 24, 2017
    Assignee: ENTIT SOFTWARE LLC
    Inventors: Frank Chijeen Hsueh, Sejal Pranlal Kamani
  • Publication number: 20160156646
    Abstract: Example embodiments disclosed herein relate to generate signal tokens indicative of malware. A code analysis is performed on known malware application code and known clean application code to generate tokens. Signal tokens indicative of malware are generated based on groupings of the tokens.
    Type: Application
    Filed: July 31, 2013
    Publication date: June 2, 2016
    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
    Inventors: Frank Chijeen Hsueh, Sejal Pranlal Kamani
  • Publication number: 20160094574
    Abstract: Example embodiments disclosed herein relate to determining malware. A set of tokens is generated from an application under test, A set of signal tokens is generated from the set of tokens. A likelihood of malware is determined for the application under test based on the signal tokens and a signal token database.
    Type: Application
    Filed: August 27, 2013
    Publication date: March 31, 2016
    Inventors: Frank Chijeen Hsueh, Sejal Pranlal Kamani