Patents by Inventor Sal STOLFO

Sal STOLFO 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).

  • DETECTION OF ANOMALOUS PROGRAM EXECUTION USING HARDWARE-BASED MICRO ARCHITECTURAL DATA
    Publication number: 20180300484
    Abstract: Disclosed are devices, systems, apparatus, methods, products, media and other implementations, including a method that includes obtaining hardware-based micro-architectural data, including hardware-based micro-architectural counter data, for a hardware device executing one or more processes, and determining based, at least in part, on the hardware-based micro-architectural data whether at least one of the one or more processes executing on the hardware device corresponds to a malicious process. In some embodiments, determining based on the hardware-based micro-architectural data whether the at least one of the one or more processes corresponds to a malicious process may include applying one or more machine-learning procedures to the hardware-based micro-architectural data to determine whether the at least one of the one or more processes corresponds to the malicious process.
    Type: Application
    Filed: June 14, 2018
    Publication date: October 18, 2018
    Inventors: Lakshminarasimhan Sethumadhavan, John Demme, Jared Schmitz, Adrian Tang, Sal Stolfo, Matthew Maycock
  • Detection of anomalous program execution using hardware-based micro-architectural data
    Patent number: 10025929
    Abstract: Disclosed are devices, systems, apparatus, methods, products, media and other implementations, including a method that includes obtaining hardware-based micro-architectural data, including hardware-based micro-architectural counter data, for a hardware device executing one or more processes, and determining based, at least in part, on the hardware-based micro-architectural data whether at least one of the one or more processes executing on the hardware device corresponds to a malicious process. In some embodiments, determining based on the hardware-based micro-architectural data whether the at least one of the one or more processes corresponds to a malicious process may include applying one or more machine-learning procedures to the hardware-based micro-architectural data to determine whether the at least one of the one or more processes corresponds to the malicious process.
    Type: Grant
    Filed: November 5, 2013
    Date of Patent: July 17, 2018
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Lakshminarasimhan Sethumadhavan, John Demme, Jared Schmitz, Adrian Tang, Sal Stolfo, Matthew Maycock
  • DETECTION OF ANOMALOUS PROGRAM EXECUTION USING HARDWARE-BASED MICRO-ARCHITECTURAL DATA
    Publication number: 20160275288
    Abstract: Disclosed are devices, systems, apparatus, methods, products, media and other implementations, including a method that includes obtaining hardware-based micro-architectural data, including hardware-based micro-architectural counter data, for a hardware device executing one or more processes, and determining based, at least in part, on the hardware-based micro-architectural data whether at least one of the one or more processes executing on the hardware device corresponds to a malicious process. In some embodiments, determining based on the hardware-based micro-architectural data whether the at least one of the one or more processes corresponds to a malicious process may include applying one or more machine-learning procedures to the hardware-based micro-architectural data to determine whether the at least one of the one or more processes corresponds to the malicious process.
    Type: Application
    Filed: November 5, 2013
    Publication date: September 22, 2016
    Applicant: The Trustees of Columbia University in the City of New York
    Inventors: Lakshminarasimhan SETHUMADHAVAN, John DEMME, Jared SCHMITZ, Adrian TANG, Sal STOLFO, Matthew MAYCOCK