Patents by Inventor Michael Reposa

Michael Reposa 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).

  • Cyber vaccine and predictive-malware-defense methods and systems
    Patent number: 10848519
    Abstract: Methods and systems for Predictive Malware Defense (PMD) are described. The systems and methods can utilize advanced machine-learning (ML) techniques to generate malware defenses preemptively. Embodiments of PMD can utilize models, which are trained on features extracted from malware families, to predict possible courses of malware evolution. PMD captures these predicted future evolutions in signatures of as yet unseen malware variants to function as a malware vaccine. These signatures of predicted future malware “evolutions” can be added to the training set of a machine-learning (ML) based malware detection and/or mitigation system so that it can detect these new variants as they arrive.
    Type: Grant
    Filed: October 12, 2018
    Date of Patent: November 24, 2020
    Assignee: Charles River Analytics, Inc.
    Inventors: Michael Howard, Avi Pfeffer, Mukesh Dalal, Michael Reposa
  • CYBER VACCINE AND PREDICTIVE-MALWARE-DEFENSE METHODS AND SYSTEMS
    Publication number: 20190199736
    Abstract: Methods and systems for Predictive Malware Defense (PMD) are described. The systems and methods can utilize advanced machine-learning (ML) techniques to generate malware defenses preemptively. Embodiments of PMD can utilize models, which are trained on features extracted from malware families, to predict possible courses of malware evolution. PMD captures these predicted future evolutions in signatures of as yet unseen malware variants to function as a malware vaccine. These signatures of predicted future malware “evolutions” can be added to the training set of a machine-learning (ML) based malware detection and/or mitigation system so that it can detect these new variants as they arrive.
    Type: Application
    Filed: October 12, 2018
    Publication date: June 27, 2019
    Inventors: Michael Howard, Avi Pfeffer, Mukesh Dalal, Michael Reposa