Patents by Inventor Berat E. Arik

Berat E. Arik 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).

  • Independent malware detection architecture
    Patent number: 11620384
    Abstract: A system and method (referred to as the system) detect malware by training a rule-based model, a functional based model, and a deep learning-based model from a memory snapshot of a malware free operating state of a monitored device. The system extracts a feature set from a second memory snapshot captured from an operating state of the monitored device and processes the feature set by the rule-based model, the functional-based model, and the deep learning-based model. The system identifies identifying instances of malware on the monitored device without processing data identifying an operating system of the monitored device, data associated with a prior identification of the malware, data identifying a source of the malware, data identifying a location of the malware on the monitored device, or any operating system specific data contained within the monitored device.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: April 4, 2023
    Assignee: UT-BATTELLE, LLC
    Inventors: Jared M. Smith, Rachel L. Petrik, Berat E. Arik
  • INDEPENDENT MALWARE DETECTION ARCHITECTURE
    Publication number: 20200104498
    Abstract: A system and method (referred to as the system) detect malware by training a rule-based model, a functional based model, and a deep learning-based model from a memory snapshot of a malware free operating state of a monitored device. The system extracts a feature set from a second memory snapshot captured from an operating state of the monitored device and processes the feature set by the rule-based model, the functional-based model, and the deep learning-based model. The system identifies identifying instances of malware on the monitored device without processing data identifying an operating system of the monitored device, data associated with a prior identification of the malware, data identifying a source of the malware, data identifying a location of the malware on the monitored device, or any operating system specific data contained within the monitored device.
    Type: Application
    Filed: August 2, 2019
    Publication date: April 2, 2020
    Inventors: Jared M. Smith, Rachel L. Petrik, Berat E. Arik